Farouk
commited on
Commit
·
13d8fa3
1
Parent(s):
a544699
Training in progress, step 600
Browse files- adapter_model.bin +1 -1
- checkpoint-400/adapter_model/adapter_model/README.md +20 -0
- checkpoint-400/adapter_model/adapter_model/adapter_config.json +26 -0
- checkpoint-400/adapter_model/adapter_model/adapter_model.bin +3 -0
- checkpoint-600/README.md +20 -0
- checkpoint-600/adapter_config.json +26 -0
- checkpoint-600/adapter_model.bin +3 -0
- checkpoint-600/added_tokens.json +3 -0
- checkpoint-600/optimizer.pt +3 -0
- checkpoint-600/rng_state.pth +3 -0
- checkpoint-600/scheduler.pt +3 -0
- checkpoint-600/special_tokens_map.json +6 -0
- checkpoint-600/tokenizer.model +3 -0
- checkpoint-600/tokenizer_config.json +35 -0
- checkpoint-600/trainer_state.json +4168 -0
- checkpoint-600/training_args.bin +3 -0
adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 319977229
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83cb2b2d2fd357436ba4639eca9270b4833144a38d675fa83baa39e0efd9500f
|
3 |
size 319977229
|
checkpoint-400/adapter_model/adapter_model/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: True
|
16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-400/adapter_model/adapter_model/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16.0,
|
11 |
+
"lora_dropout": 0.4,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"o_proj",
|
18 |
+
"v_proj",
|
19 |
+
"k_proj",
|
20 |
+
"down_proj",
|
21 |
+
"q_proj",
|
22 |
+
"up_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
checkpoint-400/adapter_model/adapter_model/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8b42360731aeed8d0662eff0fa1259bd55a45091b5078ae386cbce2d3325842b
|
3 |
+
size 319977229
|
checkpoint-600/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: True
|
16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-600/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16.0,
|
11 |
+
"lora_dropout": 0.4,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"o_proj",
|
18 |
+
"v_proj",
|
19 |
+
"k_proj",
|
20 |
+
"down_proj",
|
21 |
+
"q_proj",
|
22 |
+
"up_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
checkpoint-600/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83cb2b2d2fd357436ba4639eca9270b4833144a38d675fa83baa39e0efd9500f
|
3 |
+
size 319977229
|
checkpoint-600/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<pad>": 32000
|
3 |
+
}
|
checkpoint-600/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1814ba7f35163ffaf78d345d4b39c7a8b3ed8f496cae368dcc88b0f4925a89cf
|
3 |
+
size 1279539973
|
checkpoint-600/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:428800511b314d28f9b52a9e7f3e52507c9b3807682a1f0b719700359060bcc4
|
3 |
+
size 14511
|
checkpoint-600/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec86fe6259605d8ef886cd8fc711f042f8248ddd86839f789c7a9c4f568fa3a5
|
3 |
+
size 627
|
checkpoint-600/special_tokens_map.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"eos_token": "</s>",
|
4 |
+
"pad_token": "<unk>",
|
5 |
+
"unk_token": "<unk>"
|
6 |
+
}
|
checkpoint-600/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-600/tokenizer_config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"bos_token": {
|
5 |
+
"__type": "AddedToken",
|
6 |
+
"content": "<s>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"clean_up_tokenization_spaces": false,
|
13 |
+
"eos_token": {
|
14 |
+
"__type": "AddedToken",
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"legacy": false,
|
22 |
+
"model_max_length": 1000000000000000019884624838656,
|
23 |
+
"pad_token": null,
|
24 |
+
"padding_side": "right",
|
25 |
+
"sp_model_kwargs": {},
|
26 |
+
"tokenizer_class": "LlamaTokenizer",
|
27 |
+
"unk_token": {
|
28 |
+
"__type": "AddedToken",
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
}
|
35 |
+
}
|
checkpoint-600/trainer_state.json
ADDED
@@ -0,0 +1,4168 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5055681467056274,
|
3 |
+
"best_model_checkpoint": "./output_v2/7b_cluster00_Nous-Hermes-llama-2-7b_codellama_blob_1/checkpoint-600",
|
4 |
+
"epoch": 1.6842105263157894,
|
5 |
+
"global_step": 600,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 9.999999999999999e-06,
|
13 |
+
"loss": 0.7795,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 1.9999999999999998e-05,
|
19 |
+
"loss": 0.6789,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.01,
|
24 |
+
"learning_rate": 2.9999999999999997e-05,
|
25 |
+
"loss": 0.6846,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.01,
|
30 |
+
"learning_rate": 3.9999999999999996e-05,
|
31 |
+
"loss": 0.6883,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.01,
|
36 |
+
"learning_rate": 4.9999999999999996e-05,
|
37 |
+
"loss": 0.5963,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.02,
|
42 |
+
"learning_rate": 5.9999999999999995e-05,
|
43 |
+
"loss": 0.6577,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.02,
|
48 |
+
"learning_rate": 7e-05,
|
49 |
+
"loss": 0.625,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.02,
|
54 |
+
"learning_rate": 7.999999999999999e-05,
|
55 |
+
"loss": 0.6864,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.03,
|
60 |
+
"learning_rate": 8.999999999999999e-05,
|
61 |
+
"loss": 0.5344,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.03,
|
66 |
+
"learning_rate": 9.999999999999999e-05,
|
67 |
+
"loss": 0.5956,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.03,
|
72 |
+
"learning_rate": 0.00010999999999999998,
|
73 |
+
"loss": 0.6993,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.03,
|
78 |
+
"learning_rate": 0.00011999999999999999,
|
79 |
+
"loss": 0.623,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.04,
|
84 |
+
"learning_rate": 0.00013,
|
85 |
+
"loss": 0.5547,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04,
|
90 |
+
"learning_rate": 0.00014,
|
91 |
+
"loss": 0.5404,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.04,
|
96 |
+
"learning_rate": 0.00015,
|
97 |
+
"loss": 0.5536,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.04,
|
102 |
+
"learning_rate": 0.00015999999999999999,
|
103 |
+
"loss": 0.6886,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.05,
|
108 |
+
"learning_rate": 0.00016999999999999999,
|
109 |
+
"loss": 0.8917,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.05,
|
114 |
+
"learning_rate": 0.00017999999999999998,
|
115 |
+
"loss": 0.6834,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.05,
|
120 |
+
"learning_rate": 0.00018999999999999998,
|
121 |
+
"loss": 0.4784,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.06,
|
126 |
+
"learning_rate": 0.00019999999999999998,
|
127 |
+
"loss": 0.5869,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.06,
|
132 |
+
"learning_rate": 0.00020999999999999998,
|
133 |
+
"loss": 0.9495,
|
134 |
+
"step": 21
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.06,
|
138 |
+
"learning_rate": 0.00021999999999999995,
|
139 |
+
"loss": 0.8727,
|
140 |
+
"step": 22
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.06,
|
144 |
+
"learning_rate": 0.00023,
|
145 |
+
"loss": 0.671,
|
146 |
+
"step": 23
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.07,
|
150 |
+
"learning_rate": 0.00023999999999999998,
|
151 |
+
"loss": 0.6582,
|
152 |
+
"step": 24
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.07,
|
156 |
+
"learning_rate": 0.00025,
|
157 |
+
"loss": 0.6599,
|
158 |
+
"step": 25
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.07,
|
162 |
+
"eval_loss": 0.6080610752105713,
|
163 |
+
"eval_runtime": 26.3081,
|
164 |
+
"eval_samples_per_second": 7.602,
|
165 |
+
"eval_steps_per_second": 1.901,
|
166 |
+
"step": 25
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"dharma_eval_accuracy": 0.45126789906203946,
|
170 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.5555555555555556,
|
171 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5555555555555556,
|
172 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
173 |
+
"dharma_eval_accuracy_MMLU": 0.3888888888888889,
|
174 |
+
"dharma_eval_accuracy_agieval": 0.2711864406779661,
|
175 |
+
"dharma_eval_accuracy_bigbench": 0.47540983606557374,
|
176 |
+
"dharma_eval_accuracy_openbookqa": 0.35185185185185186,
|
177 |
+
"dharma_eval_accuracy_truthful_qa": 0.42592592592592593,
|
178 |
+
"dharma_eval_accuracy_winogrande": 0.3333333333333333,
|
179 |
+
"dharma_loss": 2.3038411536216734,
|
180 |
+
"epoch": 0.07,
|
181 |
+
"step": 25
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.07,
|
185 |
+
"learning_rate": 0.00026,
|
186 |
+
"loss": 0.568,
|
187 |
+
"step": 26
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 0.08,
|
191 |
+
"learning_rate": 0.00027,
|
192 |
+
"loss": 0.569,
|
193 |
+
"step": 27
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.08,
|
197 |
+
"learning_rate": 0.00028,
|
198 |
+
"loss": 0.4481,
|
199 |
+
"step": 28
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.08,
|
203 |
+
"learning_rate": 0.00029,
|
204 |
+
"loss": 0.5482,
|
205 |
+
"step": 29
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.08,
|
209 |
+
"learning_rate": 0.0003,
|
210 |
+
"loss": 0.8189,
|
211 |
+
"step": 30
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.09,
|
215 |
+
"learning_rate": 0.0002999992132854894,
|
216 |
+
"loss": 0.928,
|
217 |
+
"step": 31
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.09,
|
221 |
+
"learning_rate": 0.0002999968531502098,
|
222 |
+
"loss": 0.6567,
|
223 |
+
"step": 32
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 0.09,
|
227 |
+
"learning_rate": 0.0002999929196189179,
|
228 |
+
"loss": 0.469,
|
229 |
+
"step": 33
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 0.1,
|
233 |
+
"learning_rate": 0.00029998741273287477,
|
234 |
+
"loss": 0.6043,
|
235 |
+
"step": 34
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.1,
|
239 |
+
"learning_rate": 0.0002999803325498448,
|
240 |
+
"loss": 0.6288,
|
241 |
+
"step": 35
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.1,
|
245 |
+
"learning_rate": 0.0002999716791440959,
|
246 |
+
"loss": 0.6692,
|
247 |
+
"step": 36
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.1,
|
251 |
+
"learning_rate": 0.00029996145260639806,
|
252 |
+
"loss": 0.7591,
|
253 |
+
"step": 37
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.11,
|
257 |
+
"learning_rate": 0.000299949653044023,
|
258 |
+
"loss": 0.5729,
|
259 |
+
"step": 38
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 0.11,
|
263 |
+
"learning_rate": 0.00029993628058074245,
|
264 |
+
"loss": 0.4347,
|
265 |
+
"step": 39
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.11,
|
269 |
+
"learning_rate": 0.00029992133535682725,
|
270 |
+
"loss": 0.7718,
|
271 |
+
"step": 40
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.12,
|
275 |
+
"learning_rate": 0.00029990481752904563,
|
276 |
+
"loss": 0.7768,
|
277 |
+
"step": 41
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 0.12,
|
281 |
+
"learning_rate": 0.0002998867272706619,
|
282 |
+
"loss": 0.7359,
|
283 |
+
"step": 42
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.12,
|
287 |
+
"learning_rate": 0.0002998670647714343,
|
288 |
+
"loss": 0.5626,
|
289 |
+
"step": 43
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.12,
|
293 |
+
"learning_rate": 0.00029984583023761317,
|
294 |
+
"loss": 0.5444,
|
295 |
+
"step": 44
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.13,
|
299 |
+
"learning_rate": 0.00029982302389193856,
|
300 |
+
"loss": 0.5487,
|
301 |
+
"step": 45
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 0.13,
|
305 |
+
"learning_rate": 0.00029979864597363845,
|
306 |
+
"loss": 0.4916,
|
307 |
+
"step": 46
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 0.13,
|
311 |
+
"learning_rate": 0.0002997726967384255,
|
312 |
+
"loss": 0.4817,
|
313 |
+
"step": 47
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.13,
|
317 |
+
"learning_rate": 0.00029974517645849503,
|
318 |
+
"loss": 0.6375,
|
319 |
+
"step": 48
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.14,
|
323 |
+
"learning_rate": 0.0002997160854225217,
|
324 |
+
"loss": 0.5938,
|
325 |
+
"step": 49
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.14,
|
329 |
+
"learning_rate": 0.0002996854239356567,
|
330 |
+
"loss": 0.5868,
|
331 |
+
"step": 50
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.14,
|
335 |
+
"eval_loss": 0.5586252212524414,
|
336 |
+
"eval_runtime": 26.2488,
|
337 |
+
"eval_samples_per_second": 7.619,
|
338 |
+
"eval_steps_per_second": 1.905,
|
339 |
+
"step": 50
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"dharma_eval_accuracy": 0.4279315127544574,
|
343 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.5925925925925926,
|
344 |
+
"dharma_eval_accuracy_ARC-Easy": 0.6481481481481481,
|
345 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
346 |
+
"dharma_eval_accuracy_MMLU": 0.4074074074074074,
|
347 |
+
"dharma_eval_accuracy_agieval": 0.2542372881355932,
|
348 |
+
"dharma_eval_accuracy_bigbench": 0.39344262295081966,
|
349 |
+
"dharma_eval_accuracy_openbookqa": 0.3148148148148148,
|
350 |
+
"dharma_eval_accuracy_truthful_qa": 0.4444444444444444,
|
351 |
+
"dharma_eval_accuracy_winogrande": 0.09259259259259259,
|
352 |
+
"dharma_loss": 2.1031297972202303,
|
353 |
+
"epoch": 0.14,
|
354 |
+
"step": 50
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.14,
|
358 |
+
"learning_rate": 0.00029965319231952455,
|
359 |
+
"loss": 0.612,
|
360 |
+
"step": 51
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.15,
|
364 |
+
"learning_rate": 0.0002996193909122197,
|
365 |
+
"loss": 0.8942,
|
366 |
+
"step": 52
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.15,
|
370 |
+
"learning_rate": 0.00029958402006830274,
|
371 |
+
"loss": 0.5766,
|
372 |
+
"step": 53
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.15,
|
376 |
+
"learning_rate": 0.0002995470801587973,
|
377 |
+
"loss": 0.6238,
|
378 |
+
"step": 54
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 0.15,
|
382 |
+
"learning_rate": 0.0002995085715711854,
|
383 |
+
"loss": 0.5561,
|
384 |
+
"step": 55
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.16,
|
388 |
+
"learning_rate": 0.0002994684947094039,
|
389 |
+
"loss": 0.6203,
|
390 |
+
"step": 56
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.16,
|
394 |
+
"learning_rate": 0.0002994268499938403,
|
395 |
+
"loss": 0.6534,
|
396 |
+
"step": 57
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.16,
|
400 |
+
"learning_rate": 0.00029938363786132774,
|
401 |
+
"loss": 0.594,
|
402 |
+
"step": 58
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.17,
|
406 |
+
"learning_rate": 0.00029933885876514115,
|
407 |
+
"loss": 0.5608,
|
408 |
+
"step": 59
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.17,
|
412 |
+
"learning_rate": 0.0002992925131749921,
|
413 |
+
"loss": 0.6622,
|
414 |
+
"step": 60
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.17,
|
418 |
+
"learning_rate": 0.00029924460157702376,
|
419 |
+
"loss": 0.5207,
|
420 |
+
"step": 61
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.17,
|
424 |
+
"learning_rate": 0.00029919512447380625,
|
425 |
+
"loss": 0.5308,
|
426 |
+
"step": 62
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.18,
|
430 |
+
"learning_rate": 0.0002991440823843309,
|
431 |
+
"loss": 0.6217,
|
432 |
+
"step": 63
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.18,
|
436 |
+
"learning_rate": 0.0002990914758440051,
|
437 |
+
"loss": 0.6541,
|
438 |
+
"step": 64
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.18,
|
442 |
+
"learning_rate": 0.00029903730540464666,
|
443 |
+
"loss": 0.514,
|
444 |
+
"step": 65
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.19,
|
448 |
+
"learning_rate": 0.00029898157163447763,
|
449 |
+
"loss": 0.5923,
|
450 |
+
"step": 66
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.19,
|
454 |
+
"learning_rate": 0.0002989242751181191,
|
455 |
+
"loss": 0.6156,
|
456 |
+
"step": 67
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.19,
|
460 |
+
"learning_rate": 0.0002988654164565843,
|
461 |
+
"loss": 0.5406,
|
462 |
+
"step": 68
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.19,
|
466 |
+
"learning_rate": 0.0002988049962672728,
|
467 |
+
"loss": 0.4563,
|
468 |
+
"step": 69
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.2,
|
472 |
+
"learning_rate": 0.00029874301518396376,
|
473 |
+
"loss": 0.5448,
|
474 |
+
"step": 70
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.2,
|
478 |
+
"learning_rate": 0.00029867947385680936,
|
479 |
+
"loss": 0.6164,
|
480 |
+
"step": 71
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.2,
|
484 |
+
"learning_rate": 0.0002986143729523282,
|
485 |
+
"loss": 0.5636,
|
486 |
+
"step": 72
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.2,
|
490 |
+
"learning_rate": 0.00029854771315339785,
|
491 |
+
"loss": 0.5301,
|
492 |
+
"step": 73
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.21,
|
496 |
+
"learning_rate": 0.00029847949515924806,
|
497 |
+
"loss": 0.6074,
|
498 |
+
"step": 74
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.21,
|
502 |
+
"learning_rate": 0.0002984097196854534,
|
503 |
+
"loss": 0.5123,
|
504 |
+
"step": 75
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.21,
|
508 |
+
"eval_loss": 0.541282057762146,
|
509 |
+
"eval_runtime": 26.1496,
|
510 |
+
"eval_samples_per_second": 7.648,
|
511 |
+
"eval_steps_per_second": 1.912,
|
512 |
+
"step": 75
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"dharma_eval_accuracy": 0.4466804336366869,
|
516 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.6296296296296297,
|
517 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5740740740740741,
|
518 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
519 |
+
"dharma_eval_accuracy_MMLU": 0.4074074074074074,
|
520 |
+
"dharma_eval_accuracy_agieval": 0.2711864406779661,
|
521 |
+
"dharma_eval_accuracy_bigbench": 0.5081967213114754,
|
522 |
+
"dharma_eval_accuracy_openbookqa": 0.12962962962962962,
|
523 |
+
"dharma_eval_accuracy_truthful_qa": 0.4074074074074074,
|
524 |
+
"dharma_eval_accuracy_winogrande": 0.3888888888888889,
|
525 |
+
"dharma_loss": 2.2732545466423035,
|
526 |
+
"epoch": 0.21,
|
527 |
+
"step": 75
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.21,
|
531 |
+
"learning_rate": 0.0002983383874639254,
|
532 |
+
"loss": 0.5206,
|
533 |
+
"step": 76
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.22,
|
537 |
+
"learning_rate": 0.00029826549924290557,
|
538 |
+
"loss": 0.6452,
|
539 |
+
"step": 77
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.22,
|
543 |
+
"learning_rate": 0.00029819105578695655,
|
544 |
+
"loss": 0.6085,
|
545 |
+
"step": 78
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.22,
|
549 |
+
"learning_rate": 0.00029811505787695524,
|
550 |
+
"loss": 0.5163,
|
551 |
+
"step": 79
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.22,
|
555 |
+
"learning_rate": 0.00029803750631008356,
|
556 |
+
"loss": 0.5511,
|
557 |
+
"step": 80
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.23,
|
561 |
+
"learning_rate": 0.0002979584018998209,
|
562 |
+
"loss": 0.6395,
|
563 |
+
"step": 81
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.23,
|
567 |
+
"learning_rate": 0.000297877745475935,
|
568 |
+
"loss": 0.6281,
|
569 |
+
"step": 82
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.23,
|
573 |
+
"learning_rate": 0.00029779553788447357,
|
574 |
+
"loss": 0.4932,
|
575 |
+
"step": 83
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.24,
|
579 |
+
"learning_rate": 0.00029771177998775536,
|
580 |
+
"loss": 0.5497,
|
581 |
+
"step": 84
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 0.24,
|
585 |
+
"learning_rate": 0.0002976264726643611,
|
586 |
+
"loss": 0.5496,
|
587 |
+
"step": 85
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.24,
|
591 |
+
"learning_rate": 0.00029753961680912427,
|
592 |
+
"loss": 0.4569,
|
593 |
+
"step": 86
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.24,
|
597 |
+
"learning_rate": 0.00029745121333312163,
|
598 |
+
"loss": 0.5152,
|
599 |
+
"step": 87
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.25,
|
603 |
+
"learning_rate": 0.0002973612631636638,
|
604 |
+
"loss": 0.6928,
|
605 |
+
"step": 88
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.25,
|
609 |
+
"learning_rate": 0.0002972697672442856,
|
610 |
+
"loss": 0.5503,
|
611 |
+
"step": 89
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.25,
|
615 |
+
"learning_rate": 0.0002971767265347358,
|
616 |
+
"loss": 0.7074,
|
617 |
+
"step": 90
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.26,
|
621 |
+
"learning_rate": 0.00029708214201096755,
|
622 |
+
"loss": 0.6397,
|
623 |
+
"step": 91
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 0.26,
|
627 |
+
"learning_rate": 0.0002969860146651276,
|
628 |
+
"loss": 0.7815,
|
629 |
+
"step": 92
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.26,
|
633 |
+
"learning_rate": 0.00029688834550554646,
|
634 |
+
"loss": 0.6274,
|
635 |
+
"step": 93
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.26,
|
639 |
+
"learning_rate": 0.0002967891355567273,
|
640 |
+
"loss": 0.6196,
|
641 |
+
"step": 94
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.27,
|
645 |
+
"learning_rate": 0.00029668838585933556,
|
646 |
+
"loss": 0.5845,
|
647 |
+
"step": 95
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.27,
|
651 |
+
"learning_rate": 0.0002965860974701879,
|
652 |
+
"loss": 0.5934,
|
653 |
+
"step": 96
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.27,
|
657 |
+
"learning_rate": 0.0002964822714622412,
|
658 |
+
"loss": 0.6277,
|
659 |
+
"step": 97
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.28,
|
663 |
+
"learning_rate": 0.000296376908924581,
|
664 |
+
"loss": 0.555,
|
665 |
+
"step": 98
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.28,
|
669 |
+
"learning_rate": 0.00029627001096241057,
|
670 |
+
"loss": 0.5478,
|
671 |
+
"step": 99
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.28,
|
675 |
+
"learning_rate": 0.0002961615786970389,
|
676 |
+
"loss": 0.6851,
|
677 |
+
"step": 100
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 0.28,
|
681 |
+
"eval_loss": 0.5322936177253723,
|
682 |
+
"eval_runtime": 26.2408,
|
683 |
+
"eval_samples_per_second": 7.622,
|
684 |
+
"eval_steps_per_second": 1.905,
|
685 |
+
"step": 100
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"dharma_eval_accuracy": 0.3837211296690781,
|
689 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.6296296296296297,
|
690 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5925925925925926,
|
691 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
692 |
+
"dharma_eval_accuracy_MMLU": 0.4444444444444444,
|
693 |
+
"dharma_eval_accuracy_agieval": 0.22033898305084745,
|
694 |
+
"dharma_eval_accuracy_bigbench": 0.3442622950819672,
|
695 |
+
"dharma_eval_accuracy_openbookqa": 0.09259259259259259,
|
696 |
+
"dharma_eval_accuracy_truthful_qa": 0.2777777777777778,
|
697 |
+
"dharma_eval_accuracy_winogrande": 0.14814814814814814,
|
698 |
+
"dharma_loss": 2.1400452837944033,
|
699 |
+
"epoch": 0.28,
|
700 |
+
"step": 100
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 0.28,
|
704 |
+
"learning_rate": 0.00029605161326586916,
|
705 |
+
"loss": 0.5637,
|
706 |
+
"step": 101
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.29,
|
710 |
+
"learning_rate": 0.0002959401158223867,
|
711 |
+
"loss": 0.5563,
|
712 |
+
"step": 102
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 0.29,
|
716 |
+
"learning_rate": 0.0002958270875361469,
|
717 |
+
"loss": 0.7583,
|
718 |
+
"step": 103
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.29,
|
722 |
+
"learning_rate": 0.0002957125295927631,
|
723 |
+
"loss": 0.4775,
|
724 |
+
"step": 104
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 0.29,
|
728 |
+
"learning_rate": 0.0002955964431938939,
|
729 |
+
"loss": 0.6912,
|
730 |
+
"step": 105
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.3,
|
734 |
+
"learning_rate": 0.0002954788295572305,
|
735 |
+
"loss": 0.7142,
|
736 |
+
"step": 106
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 0.3,
|
740 |
+
"learning_rate": 0.00029535968991648454,
|
741 |
+
"loss": 0.5264,
|
742 |
+
"step": 107
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 0.3,
|
746 |
+
"learning_rate": 0.00029523902552137433,
|
747 |
+
"loss": 0.509,
|
748 |
+
"step": 108
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 0.31,
|
752 |
+
"learning_rate": 0.0002951168376376124,
|
753 |
+
"loss": 0.7375,
|
754 |
+
"step": 109
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 0.31,
|
758 |
+
"learning_rate": 0.0002949931275468917,
|
759 |
+
"loss": 0.4407,
|
760 |
+
"step": 110
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.31,
|
764 |
+
"learning_rate": 0.00029486789654687253,
|
765 |
+
"loss": 0.5361,
|
766 |
+
"step": 111
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 0.31,
|
770 |
+
"learning_rate": 0.00029474114595116896,
|
771 |
+
"loss": 0.6161,
|
772 |
+
"step": 112
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.32,
|
776 |
+
"learning_rate": 0.00029461287708933473,
|
777 |
+
"loss": 0.589,
|
778 |
+
"step": 113
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 0.32,
|
782 |
+
"learning_rate": 0.0002944830913068494,
|
783 |
+
"loss": 0.5677,
|
784 |
+
"step": 114
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 0.32,
|
788 |
+
"learning_rate": 0.00029435178996510455,
|
789 |
+
"loss": 0.5946,
|
790 |
+
"step": 115
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 0.33,
|
794 |
+
"learning_rate": 0.00029421897444138897,
|
795 |
+
"loss": 0.526,
|
796 |
+
"step": 116
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 0.33,
|
800 |
+
"learning_rate": 0.0002940846461288748,
|
801 |
+
"loss": 0.8164,
|
802 |
+
"step": 117
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 0.33,
|
806 |
+
"learning_rate": 0.0002939488064366024,
|
807 |
+
"loss": 0.6519,
|
808 |
+
"step": 118
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.33,
|
812 |
+
"learning_rate": 0.00029381145678946584,
|
813 |
+
"loss": 0.6519,
|
814 |
+
"step": 119
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.34,
|
818 |
+
"learning_rate": 0.00029367259862819804,
|
819 |
+
"loss": 0.7479,
|
820 |
+
"step": 120
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 0.34,
|
824 |
+
"learning_rate": 0.0002935322334093553,
|
825 |
+
"loss": 0.5756,
|
826 |
+
"step": 121
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 0.34,
|
830 |
+
"learning_rate": 0.0002933903626053024,
|
831 |
+
"loss": 0.3582,
|
832 |
+
"step": 122
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 0.35,
|
836 |
+
"learning_rate": 0.00029324698770419685,
|
837 |
+
"loss": 0.5282,
|
838 |
+
"step": 123
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 0.35,
|
842 |
+
"learning_rate": 0.0002931021102099737,
|
843 |
+
"loss": 0.5435,
|
844 |
+
"step": 124
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 0.35,
|
848 |
+
"learning_rate": 0.0002929557316423291,
|
849 |
+
"loss": 0.7049,
|
850 |
+
"step": 125
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 0.35,
|
854 |
+
"eval_loss": 0.539155125617981,
|
855 |
+
"eval_runtime": 26.1963,
|
856 |
+
"eval_samples_per_second": 7.635,
|
857 |
+
"eval_steps_per_second": 1.909,
|
858 |
+
"step": 125
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"dharma_eval_accuracy": 0.25951081518986185,
|
862 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.42592592592592593,
|
863 |
+
"dharma_eval_accuracy_ARC-Easy": 0.46296296296296297,
|
864 |
+
"dharma_eval_accuracy_BoolQ": 0.1111111111111111,
|
865 |
+
"dharma_eval_accuracy_MMLU": 0.4074074074074074,
|
866 |
+
"dharma_eval_accuracy_agieval": 0.2542372881355932,
|
867 |
+
"dharma_eval_accuracy_bigbench": 0.22950819672131148,
|
868 |
+
"dharma_eval_accuracy_openbookqa": 0.14814814814814814,
|
869 |
+
"dharma_eval_accuracy_truthful_qa": 0.2962962962962963,
|
870 |
+
"dharma_eval_accuracy_winogrande": 0.0,
|
871 |
+
"dharma_loss": 2.083115490436554,
|
872 |
+
"epoch": 0.35,
|
873 |
+
"step": 125
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.35,
|
877 |
+
"learning_rate": 0.00029280785353670514,
|
878 |
+
"loss": 0.5792,
|
879 |
+
"step": 126
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.36,
|
883 |
+
"learning_rate": 0.00029265847744427303,
|
884 |
+
"loss": 0.8134,
|
885 |
+
"step": 127
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.36,
|
889 |
+
"learning_rate": 0.00029250760493191734,
|
890 |
+
"loss": 0.6023,
|
891 |
+
"step": 128
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.36,
|
895 |
+
"learning_rate": 0.0002923552375822194,
|
896 |
+
"loss": 0.6515,
|
897 |
+
"step": 129
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.36,
|
901 |
+
"learning_rate": 0.00029220137699344055,
|
902 |
+
"loss": 0.7513,
|
903 |
+
"step": 130
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 0.37,
|
907 |
+
"learning_rate": 0.00029204602477950556,
|
908 |
+
"loss": 0.6878,
|
909 |
+
"step": 131
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.37,
|
913 |
+
"learning_rate": 0.00029188918256998564,
|
914 |
+
"loss": 0.4415,
|
915 |
+
"step": 132
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.37,
|
919 |
+
"learning_rate": 0.0002917308520100814,
|
920 |
+
"loss": 0.5476,
|
921 |
+
"step": 133
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.38,
|
925 |
+
"learning_rate": 0.00029157103476060544,
|
926 |
+
"loss": 0.5394,
|
927 |
+
"step": 134
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.38,
|
931 |
+
"learning_rate": 0.0002914097324979651,
|
932 |
+
"loss": 0.4909,
|
933 |
+
"step": 135
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.38,
|
937 |
+
"learning_rate": 0.0002912469469141448,
|
938 |
+
"loss": 0.4633,
|
939 |
+
"step": 136
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.38,
|
943 |
+
"learning_rate": 0.0002910826797166882,
|
944 |
+
"loss": 0.6073,
|
945 |
+
"step": 137
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.39,
|
949 |
+
"learning_rate": 0.00029091693262868067,
|
950 |
+
"loss": 0.7209,
|
951 |
+
"step": 138
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.39,
|
955 |
+
"learning_rate": 0.0002907497073887305,
|
956 |
+
"loss": 0.6085,
|
957 |
+
"step": 139
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 0.39,
|
961 |
+
"learning_rate": 0.0002905810057509515,
|
962 |
+
"loss": 0.7864,
|
963 |
+
"step": 140
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.4,
|
967 |
+
"learning_rate": 0.00029041082948494395,
|
968 |
+
"loss": 0.5827,
|
969 |
+
"step": 141
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.4,
|
973 |
+
"learning_rate": 0.00029023918037577635,
|
974 |
+
"loss": 0.5981,
|
975 |
+
"step": 142
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.4,
|
979 |
+
"learning_rate": 0.00029006606022396667,
|
980 |
+
"loss": 0.5293,
|
981 |
+
"step": 143
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.4,
|
985 |
+
"learning_rate": 0.00028989147084546333,
|
986 |
+
"loss": 0.7339,
|
987 |
+
"step": 144
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.41,
|
991 |
+
"learning_rate": 0.00028971541407162634,
|
992 |
+
"loss": 0.6057,
|
993 |
+
"step": 145
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.41,
|
997 |
+
"learning_rate": 0.0002895378917492079,
|
998 |
+
"loss": 0.5364,
|
999 |
+
"step": 146
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.41,
|
1003 |
+
"learning_rate": 0.0002893589057403332,
|
1004 |
+
"loss": 0.5716,
|
1005 |
+
"step": 147
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.42,
|
1009 |
+
"learning_rate": 0.0002891784579224808,
|
1010 |
+
"loss": 1.1362,
|
1011 |
+
"step": 148
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.42,
|
1015 |
+
"learning_rate": 0.00028899655018846295,
|
1016 |
+
"loss": 0.5743,
|
1017 |
+
"step": 149
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.42,
|
1021 |
+
"learning_rate": 0.0002888131844464056,
|
1022 |
+
"loss": 0.5567,
|
1023 |
+
"step": 150
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.42,
|
1027 |
+
"eval_loss": 0.5322738885879517,
|
1028 |
+
"eval_runtime": 26.2089,
|
1029 |
+
"eval_samples_per_second": 7.631,
|
1030 |
+
"eval_steps_per_second": 1.908,
|
1031 |
+
"step": 150
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"dharma_eval_accuracy": 0.38818510400122574,
|
1035 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.4074074074074074,
|
1036 |
+
"dharma_eval_accuracy_ARC-Easy": 0.46296296296296297,
|
1037 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
1038 |
+
"dharma_eval_accuracy_MMLU": 0.37037037037037035,
|
1039 |
+
"dharma_eval_accuracy_agieval": 0.1864406779661017,
|
1040 |
+
"dharma_eval_accuracy_bigbench": 0.3442622950819672,
|
1041 |
+
"dharma_eval_accuracy_openbookqa": 0.2037037037037037,
|
1042 |
+
"dharma_eval_accuracy_truthful_qa": 0.4074074074074074,
|
1043 |
+
"dharma_eval_accuracy_winogrande": 0.4074074074074074,
|
1044 |
+
"dharma_loss": 2.3776819763183594,
|
1045 |
+
"epoch": 0.42,
|
1046 |
+
"step": 150
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.42,
|
1050 |
+
"learning_rate": 0.0002886283626197287,
|
1051 |
+
"loss": 0.6541,
|
1052 |
+
"step": 151
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.43,
|
1056 |
+
"learning_rate": 0.00028844208664712575,
|
1057 |
+
"loss": 0.4995,
|
1058 |
+
"step": 152
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.43,
|
1062 |
+
"learning_rate": 0.0002882543584825435,
|
1063 |
+
"loss": 0.4582,
|
1064 |
+
"step": 153
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 0.43,
|
1068 |
+
"learning_rate": 0.00028806518009516155,
|
1069 |
+
"loss": 0.7142,
|
1070 |
+
"step": 154
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 0.44,
|
1074 |
+
"learning_rate": 0.0002878745534693718,
|
1075 |
+
"loss": 0.5899,
|
1076 |
+
"step": 155
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 0.44,
|
1080 |
+
"learning_rate": 0.00028768248060475726,
|
1081 |
+
"loss": 0.4097,
|
1082 |
+
"step": 156
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 0.44,
|
1086 |
+
"learning_rate": 0.0002874889635160714,
|
1087 |
+
"loss": 0.5437,
|
1088 |
+
"step": 157
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.44,
|
1092 |
+
"learning_rate": 0.0002872940042332169,
|
1093 |
+
"loss": 0.5694,
|
1094 |
+
"step": 158
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.45,
|
1098 |
+
"learning_rate": 0.0002870976048012244,
|
1099 |
+
"loss": 0.5558,
|
1100 |
+
"step": 159
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 0.45,
|
1104 |
+
"learning_rate": 0.000286899767280231,
|
1105 |
+
"loss": 0.6174,
|
1106 |
+
"step": 160
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 0.45,
|
1110 |
+
"learning_rate": 0.0002867004937454587,
|
1111 |
+
"loss": 0.4809,
|
1112 |
+
"step": 161
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.45,
|
1116 |
+
"learning_rate": 0.00028649978628719254,
|
1117 |
+
"loss": 0.7249,
|
1118 |
+
"step": 162
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.46,
|
1122 |
+
"learning_rate": 0.00028629764701075885,
|
1123 |
+
"loss": 0.5729,
|
1124 |
+
"step": 163
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 0.46,
|
1128 |
+
"learning_rate": 0.0002860940780365029,
|
1129 |
+
"loss": 0.3942,
|
1130 |
+
"step": 164
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.46,
|
1134 |
+
"learning_rate": 0.000285889081499767,
|
1135 |
+
"loss": 0.62,
|
1136 |
+
"step": 165
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.47,
|
1140 |
+
"learning_rate": 0.00028568265955086774,
|
1141 |
+
"loss": 0.6196,
|
1142 |
+
"step": 166
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 0.47,
|
1146 |
+
"learning_rate": 0.0002854748143550738,
|
1147 |
+
"loss": 0.4698,
|
1148 |
+
"step": 167
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 0.47,
|
1152 |
+
"learning_rate": 0.00028526554809258275,
|
1153 |
+
"loss": 0.53,
|
1154 |
+
"step": 168
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.47,
|
1158 |
+
"learning_rate": 0.0002850548629584988,
|
1159 |
+
"loss": 0.6017,
|
1160 |
+
"step": 169
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.48,
|
1164 |
+
"learning_rate": 0.00028484276116280926,
|
1165 |
+
"loss": 0.5452,
|
1166 |
+
"step": 170
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 0.48,
|
1170 |
+
"learning_rate": 0.00028462924493036164,
|
1171 |
+
"loss": 0.5359,
|
1172 |
+
"step": 171
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.48,
|
1176 |
+
"learning_rate": 0.00028441431650084016,
|
1177 |
+
"loss": 0.4914,
|
1178 |
+
"step": 172
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.49,
|
1182 |
+
"learning_rate": 0.00028419797812874237,
|
1183 |
+
"loss": 0.44,
|
1184 |
+
"step": 173
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.49,
|
1188 |
+
"learning_rate": 0.00028398023208335533,
|
1189 |
+
"loss": 0.4378,
|
1190 |
+
"step": 174
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 0.49,
|
1194 |
+
"learning_rate": 0.00028376108064873215,
|
1195 |
+
"loss": 0.5328,
|
1196 |
+
"step": 175
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.49,
|
1200 |
+
"eval_loss": 0.5265315771102905,
|
1201 |
+
"eval_runtime": 26.1903,
|
1202 |
+
"eval_samples_per_second": 7.636,
|
1203 |
+
"eval_steps_per_second": 1.909,
|
1204 |
+
"step": 175
|
1205 |
+
},
|
1206 |
+
{
|
1207 |
+
"dharma_eval_accuracy": 0.35997424982019466,
|
1208 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.4444444444444444,
|
1209 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5185185185185185,
|
1210 |
+
"dharma_eval_accuracy_BoolQ": 0.5925925925925926,
|
1211 |
+
"dharma_eval_accuracy_MMLU": 0.3888888888888889,
|
1212 |
+
"dharma_eval_accuracy_agieval": 0.22033898305084745,
|
1213 |
+
"dharma_eval_accuracy_bigbench": 0.2786885245901639,
|
1214 |
+
"dharma_eval_accuracy_openbookqa": 0.1111111111111111,
|
1215 |
+
"dharma_eval_accuracy_truthful_qa": 0.3333333333333333,
|
1216 |
+
"dharma_eval_accuracy_winogrande": 0.35185185185185186,
|
1217 |
+
"dharma_loss": 2.2151358013153075,
|
1218 |
+
"epoch": 0.49,
|
1219 |
+
"step": 175
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 0.49,
|
1223 |
+
"learning_rate": 0.00028354052612366757,
|
1224 |
+
"loss": 0.7281,
|
1225 |
+
"step": 176
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 0.5,
|
1229 |
+
"learning_rate": 0.0002833185708216743,
|
1230 |
+
"loss": 0.6805,
|
1231 |
+
"step": 177
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 0.5,
|
1235 |
+
"learning_rate": 0.0002830952170709583,
|
1236 |
+
"loss": 0.5105,
|
1237 |
+
"step": 178
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.5,
|
1241 |
+
"learning_rate": 0.00028287046721439484,
|
1242 |
+
"loss": 0.565,
|
1243 |
+
"step": 179
|
1244 |
+
},
|
1245 |
+
{
|
1246 |
+
"epoch": 0.51,
|
1247 |
+
"learning_rate": 0.00028264432360950353,
|
1248 |
+
"loss": 0.6562,
|
1249 |
+
"step": 180
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.51,
|
1253 |
+
"learning_rate": 0.0002824167886284237,
|
1254 |
+
"loss": 0.4868,
|
1255 |
+
"step": 181
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.51,
|
1259 |
+
"learning_rate": 0.0002821878646578898,
|
1260 |
+
"loss": 0.722,
|
1261 |
+
"step": 182
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 0.51,
|
1265 |
+
"learning_rate": 0.0002819575540992058,
|
1266 |
+
"loss": 0.6236,
|
1267 |
+
"step": 183
|
1268 |
+
},
|
1269 |
+
{
|
1270 |
+
"epoch": 0.52,
|
1271 |
+
"learning_rate": 0.00028172585936822055,
|
1272 |
+
"loss": 0.6328,
|
1273 |
+
"step": 184
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 0.52,
|
1277 |
+
"learning_rate": 0.00028149278289530213,
|
1278 |
+
"loss": 0.5526,
|
1279 |
+
"step": 185
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 0.52,
|
1283 |
+
"learning_rate": 0.00028125832712531246,
|
1284 |
+
"loss": 0.6678,
|
1285 |
+
"step": 186
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 0.52,
|
1289 |
+
"learning_rate": 0.0002810224945175816,
|
1290 |
+
"loss": 0.6193,
|
1291 |
+
"step": 187
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 0.53,
|
1295 |
+
"learning_rate": 0.00028078528754588205,
|
1296 |
+
"loss": 0.5589,
|
1297 |
+
"step": 188
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.53,
|
1301 |
+
"learning_rate": 0.00028054670869840265,
|
1302 |
+
"loss": 0.5679,
|
1303 |
+
"step": 189
|
1304 |
+
},
|
1305 |
+
{
|
1306 |
+
"epoch": 0.53,
|
1307 |
+
"learning_rate": 0.00028030676047772265,
|
1308 |
+
"loss": 0.4394,
|
1309 |
+
"step": 190
|
1310 |
+
},
|
1311 |
+
{
|
1312 |
+
"epoch": 0.54,
|
1313 |
+
"learning_rate": 0.00028006544540078534,
|
1314 |
+
"loss": 0.7148,
|
1315 |
+
"step": 191
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.54,
|
1319 |
+
"learning_rate": 0.0002798227659988717,
|
1320 |
+
"loss": 0.7248,
|
1321 |
+
"step": 192
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 0.54,
|
1325 |
+
"learning_rate": 0.00027957872481757374,
|
1326 |
+
"loss": 0.6304,
|
1327 |
+
"step": 193
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"epoch": 0.54,
|
1331 |
+
"learning_rate": 0.00027933332441676807,
|
1332 |
+
"loss": 0.5778,
|
1333 |
+
"step": 194
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 0.55,
|
1337 |
+
"learning_rate": 0.0002790865673705888,
|
1338 |
+
"loss": 0.4473,
|
1339 |
+
"step": 195
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.55,
|
1343 |
+
"learning_rate": 0.00027883845626740044,
|
1344 |
+
"loss": 0.5202,
|
1345 |
+
"step": 196
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.55,
|
1349 |
+
"learning_rate": 0.0002785889937097712,
|
1350 |
+
"loss": 0.4966,
|
1351 |
+
"step": 197
|
1352 |
+
},
|
1353 |
+
{
|
1354 |
+
"epoch": 0.56,
|
1355 |
+
"learning_rate": 0.00027833818231444516,
|
1356 |
+
"loss": 0.6239,
|
1357 |
+
"step": 198
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 0.56,
|
1361 |
+
"learning_rate": 0.00027808602471231524,
|
1362 |
+
"loss": 0.5887,
|
1363 |
+
"step": 199
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 0.56,
|
1367 |
+
"learning_rate": 0.0002778325235483954,
|
1368 |
+
"loss": 0.5363,
|
1369 |
+
"step": 200
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"epoch": 0.56,
|
1373 |
+
"eval_loss": 0.5244021415710449,
|
1374 |
+
"eval_runtime": 26.2022,
|
1375 |
+
"eval_samples_per_second": 7.633,
|
1376 |
+
"eval_steps_per_second": 1.908,
|
1377 |
+
"step": 200
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"dharma_eval_accuracy": 0.4286398713863134,
|
1381 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.5185185185185185,
|
1382 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5370370370370371,
|
1383 |
+
"dharma_eval_accuracy_BoolQ": 0.7777777777777778,
|
1384 |
+
"dharma_eval_accuracy_MMLU": 0.3888888888888889,
|
1385 |
+
"dharma_eval_accuracy_agieval": 0.2542372881355932,
|
1386 |
+
"dharma_eval_accuracy_bigbench": 0.3442622950819672,
|
1387 |
+
"dharma_eval_accuracy_openbookqa": 0.1111111111111111,
|
1388 |
+
"dharma_eval_accuracy_truthful_qa": 0.4444444444444444,
|
1389 |
+
"dharma_eval_accuracy_winogrande": 0.48148148148148145,
|
1390 |
+
"dharma_loss": 2.3920813593864443,
|
1391 |
+
"epoch": 0.56,
|
1392 |
+
"step": 200
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 0.56,
|
1396 |
+
"learning_rate": 0.00027757768148179275,
|
1397 |
+
"loss": 0.4511,
|
1398 |
+
"step": 201
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 0.57,
|
1402 |
+
"learning_rate": 0.00027732150118568017,
|
1403 |
+
"loss": 0.5601,
|
1404 |
+
"step": 202
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 0.57,
|
1408 |
+
"learning_rate": 0.00027706398534726757,
|
1409 |
+
"loss": 0.4554,
|
1410 |
+
"step": 203
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 0.57,
|
1414 |
+
"learning_rate": 0.00027680513666777435,
|
1415 |
+
"loss": 0.472,
|
1416 |
+
"step": 204
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.58,
|
1420 |
+
"learning_rate": 0.00027654495786240066,
|
1421 |
+
"loss": 0.464,
|
1422 |
+
"step": 205
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 0.58,
|
1426 |
+
"learning_rate": 0.00027628345166029906,
|
1427 |
+
"loss": 0.526,
|
1428 |
+
"step": 206
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 0.58,
|
1432 |
+
"learning_rate": 0.00027602062080454577,
|
1433 |
+
"loss": 0.6065,
|
1434 |
+
"step": 207
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 0.58,
|
1438 |
+
"learning_rate": 0.0002757564680521122,
|
1439 |
+
"loss": 0.5417,
|
1440 |
+
"step": 208
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 0.59,
|
1444 |
+
"learning_rate": 0.0002754909961738357,
|
1445 |
+
"loss": 0.6115,
|
1446 |
+
"step": 209
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 0.59,
|
1450 |
+
"learning_rate": 0.00027522420795439065,
|
1451 |
+
"loss": 0.7071,
|
1452 |
+
"step": 210
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 0.59,
|
1456 |
+
"learning_rate": 0.0002749561061922592,
|
1457 |
+
"loss": 0.5509,
|
1458 |
+
"step": 211
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.6,
|
1462 |
+
"learning_rate": 0.00027468669369970207,
|
1463 |
+
"loss": 0.5462,
|
1464 |
+
"step": 212
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 0.6,
|
1468 |
+
"learning_rate": 0.0002744159733027287,
|
1469 |
+
"loss": 0.6335,
|
1470 |
+
"step": 213
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 0.6,
|
1474 |
+
"learning_rate": 0.0002741439478410681,
|
1475 |
+
"loss": 0.6087,
|
1476 |
+
"step": 214
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 0.6,
|
1480 |
+
"learning_rate": 0.0002738706201681384,
|
1481 |
+
"loss": 0.6883,
|
1482 |
+
"step": 215
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 0.61,
|
1486 |
+
"learning_rate": 0.00027359599315101787,
|
1487 |
+
"loss": 0.5886,
|
1488 |
+
"step": 216
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 0.61,
|
1492 |
+
"learning_rate": 0.00027332006967041366,
|
1493 |
+
"loss": 0.6278,
|
1494 |
+
"step": 217
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 0.61,
|
1498 |
+
"learning_rate": 0.0002730428526206327,
|
1499 |
+
"loss": 0.4986,
|
1500 |
+
"step": 218
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.61,
|
1504 |
+
"learning_rate": 0.0002727643449095507,
|
1505 |
+
"loss": 0.7309,
|
1506 |
+
"step": 219
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 0.62,
|
1510 |
+
"learning_rate": 0.0002724845494585816,
|
1511 |
+
"loss": 0.6104,
|
1512 |
+
"step": 220
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 0.62,
|
1516 |
+
"learning_rate": 0.0002722034692026474,
|
1517 |
+
"loss": 0.745,
|
1518 |
+
"step": 221
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 0.62,
|
1522 |
+
"learning_rate": 0.00027192110709014697,
|
1523 |
+
"loss": 0.549,
|
1524 |
+
"step": 222
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 0.63,
|
1528 |
+
"learning_rate": 0.0002716374660829252,
|
1529 |
+
"loss": 0.563,
|
1530 |
+
"step": 223
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 0.63,
|
1534 |
+
"learning_rate": 0.0002713525491562421,
|
1535 |
+
"loss": 0.6249,
|
1536 |
+
"step": 224
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.63,
|
1540 |
+
"learning_rate": 0.00027106635929874135,
|
1541 |
+
"loss": 0.6111,
|
1542 |
+
"step": 225
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.63,
|
1546 |
+
"eval_loss": 0.5195571184158325,
|
1547 |
+
"eval_runtime": 26.3108,
|
1548 |
+
"eval_samples_per_second": 7.601,
|
1549 |
+
"eval_steps_per_second": 1.9,
|
1550 |
+
"step": 225
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"dharma_eval_accuracy": 0.4018291546462952,
|
1554 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.5740740740740741,
|
1555 |
+
"dharma_eval_accuracy_ARC-Easy": 0.6296296296296297,
|
1556 |
+
"dharma_eval_accuracy_BoolQ": 0.7407407407407407,
|
1557 |
+
"dharma_eval_accuracy_MMLU": 0.37037037037037035,
|
1558 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
1559 |
+
"dharma_eval_accuracy_bigbench": 0.36065573770491804,
|
1560 |
+
"dharma_eval_accuracy_openbookqa": 0.09259259259259259,
|
1561 |
+
"dharma_eval_accuracy_truthful_qa": 0.2777777777777778,
|
1562 |
+
"dharma_eval_accuracy_winogrande": 0.3333333333333333,
|
1563 |
+
"dharma_loss": 2.2894758434295652,
|
1564 |
+
"epoch": 0.63,
|
1565 |
+
"step": 225
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 0.63,
|
1569 |
+
"learning_rate": 0.0002707788995124192,
|
1570 |
+
"loss": 0.6386,
|
1571 |
+
"step": 226
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 0.64,
|
1575 |
+
"learning_rate": 0.00027049017281259276,
|
1576 |
+
"loss": 0.5923,
|
1577 |
+
"step": 227
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.64,
|
1581 |
+
"learning_rate": 0.0002702001822278685,
|
1582 |
+
"loss": 0.411,
|
1583 |
+
"step": 228
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 0.64,
|
1587 |
+
"learning_rate": 0.00026990893080011035,
|
1588 |
+
"loss": 0.5807,
|
1589 |
+
"step": 229
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 0.65,
|
1593 |
+
"learning_rate": 0.0002696164215844081,
|
1594 |
+
"loss": 0.5582,
|
1595 |
+
"step": 230
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 0.65,
|
1599 |
+
"learning_rate": 0.00026932265764904493,
|
1600 |
+
"loss": 0.5324,
|
1601 |
+
"step": 231
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 0.65,
|
1605 |
+
"learning_rate": 0.0002690276420754655,
|
1606 |
+
"loss": 0.4203,
|
1607 |
+
"step": 232
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 0.65,
|
1611 |
+
"learning_rate": 0.0002687313779582436,
|
1612 |
+
"loss": 0.5673,
|
1613 |
+
"step": 233
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 0.66,
|
1617 |
+
"learning_rate": 0.0002684338684050497,
|
1618 |
+
"loss": 0.6918,
|
1619 |
+
"step": 234
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.66,
|
1623 |
+
"learning_rate": 0.00026813511653661816,
|
1624 |
+
"loss": 0.5747,
|
1625 |
+
"step": 235
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 0.66,
|
1629 |
+
"learning_rate": 0.0002678351254867147,
|
1630 |
+
"loss": 0.589,
|
1631 |
+
"step": 236
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 0.67,
|
1635 |
+
"learning_rate": 0.0002675338984021035,
|
1636 |
+
"loss": 0.2718,
|
1637 |
+
"step": 237
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 0.67,
|
1641 |
+
"learning_rate": 0.00026723143844251416,
|
1642 |
+
"loss": 0.6372,
|
1643 |
+
"step": 238
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 0.67,
|
1647 |
+
"learning_rate": 0.0002669277487806085,
|
1648 |
+
"loss": 0.4913,
|
1649 |
+
"step": 239
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 0.67,
|
1653 |
+
"learning_rate": 0.0002666228326019474,
|
1654 |
+
"loss": 0.5037,
|
1655 |
+
"step": 240
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 0.68,
|
1659 |
+
"learning_rate": 0.0002663166931049572,
|
1660 |
+
"loss": 0.5732,
|
1661 |
+
"step": 241
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.68,
|
1665 |
+
"learning_rate": 0.00026600933350089654,
|
1666 |
+
"loss": 0.5557,
|
1667 |
+
"step": 242
|
1668 |
+
},
|
1669 |
+
{
|
1670 |
+
"epoch": 0.68,
|
1671 |
+
"learning_rate": 0.00026570075701382213,
|
1672 |
+
"loss": 0.7603,
|
1673 |
+
"step": 243
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 0.68,
|
1677 |
+
"learning_rate": 0.0002653909668805553,
|
1678 |
+
"loss": 0.6386,
|
1679 |
+
"step": 244
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 0.69,
|
1683 |
+
"learning_rate": 0.00026507996635064787,
|
1684 |
+
"loss": 0.5421,
|
1685 |
+
"step": 245
|
1686 |
+
},
|
1687 |
+
{
|
1688 |
+
"epoch": 0.69,
|
1689 |
+
"learning_rate": 0.0002647677586863484,
|
1690 |
+
"loss": 0.6066,
|
1691 |
+
"step": 246
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"epoch": 0.69,
|
1695 |
+
"learning_rate": 0.0002644543471625675,
|
1696 |
+
"loss": 0.6434,
|
1697 |
+
"step": 247
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 0.7,
|
1701 |
+
"learning_rate": 0.00026413973506684364,
|
1702 |
+
"loss": 0.5883,
|
1703 |
+
"step": 248
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.7,
|
1707 |
+
"learning_rate": 0.000263823925699309,
|
1708 |
+
"loss": 0.5793,
|
1709 |
+
"step": 249
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 0.7,
|
1713 |
+
"learning_rate": 0.00026350692237265427,
|
1714 |
+
"loss": 0.5622,
|
1715 |
+
"step": 250
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 0.7,
|
1719 |
+
"eval_loss": 0.5192391276359558,
|
1720 |
+
"eval_runtime": 26.26,
|
1721 |
+
"eval_samples_per_second": 7.616,
|
1722 |
+
"eval_steps_per_second": 1.904,
|
1723 |
+
"step": 250
|
1724 |
+
},
|
1725 |
+
{
|
1726 |
+
"dharma_eval_accuracy": 0.37803139189326707,
|
1727 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.5,
|
1728 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5185185185185185,
|
1729 |
+
"dharma_eval_accuracy_BoolQ": 0.7592592592592593,
|
1730 |
+
"dharma_eval_accuracy_MMLU": 0.42592592592592593,
|
1731 |
+
"dharma_eval_accuracy_agieval": 0.288135593220339,
|
1732 |
+
"dharma_eval_accuracy_bigbench": 0.26229508196721313,
|
1733 |
+
"dharma_eval_accuracy_openbookqa": 0.09259259259259259,
|
1734 |
+
"dharma_eval_accuracy_truthful_qa": 0.3333333333333333,
|
1735 |
+
"dharma_eval_accuracy_winogrande": 0.2222222222222222,
|
1736 |
+
"dharma_loss": 2.7471679282188415,
|
1737 |
+
"epoch": 0.7,
|
1738 |
+
"step": 250
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.7,
|
1742 |
+
"learning_rate": 0.00026318872841209445,
|
1743 |
+
"loss": 0.361,
|
1744 |
+
"step": 251
|
1745 |
+
},
|
1746 |
+
{
|
1747 |
+
"epoch": 0.71,
|
1748 |
+
"learning_rate": 0.0002628693471553335,
|
1749 |
+
"loss": 0.5178,
|
1750 |
+
"step": 252
|
1751 |
+
},
|
1752 |
+
{
|
1753 |
+
"epoch": 0.71,
|
1754 |
+
"learning_rate": 0.00026254878195252983,
|
1755 |
+
"loss": 0.4308,
|
1756 |
+
"step": 253
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 0.71,
|
1760 |
+
"learning_rate": 0.00026222703616626055,
|
1761 |
+
"loss": 0.4397,
|
1762 |
+
"step": 254
|
1763 |
+
},
|
1764 |
+
{
|
1765 |
+
"epoch": 0.72,
|
1766 |
+
"learning_rate": 0.00026190411317148686,
|
1767 |
+
"loss": 0.5298,
|
1768 |
+
"step": 255
|
1769 |
+
},
|
1770 |
+
{
|
1771 |
+
"epoch": 0.72,
|
1772 |
+
"learning_rate": 0.00026158001635551815,
|
1773 |
+
"loss": 0.6231,
|
1774 |
+
"step": 256
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 0.72,
|
1778 |
+
"learning_rate": 0.00026125474911797657,
|
1779 |
+
"loss": 0.6699,
|
1780 |
+
"step": 257
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.72,
|
1784 |
+
"learning_rate": 0.0002609283148707616,
|
1785 |
+
"loss": 0.5838,
|
1786 |
+
"step": 258
|
1787 |
+
},
|
1788 |
+
{
|
1789 |
+
"epoch": 0.73,
|
1790 |
+
"learning_rate": 0.000260600717038014,
|
1791 |
+
"loss": 0.8865,
|
1792 |
+
"step": 259
|
1793 |
+
},
|
1794 |
+
{
|
1795 |
+
"epoch": 0.73,
|
1796 |
+
"learning_rate": 0.00026027195905608006,
|
1797 |
+
"loss": 0.4901,
|
1798 |
+
"step": 260
|
1799 |
+
},
|
1800 |
+
{
|
1801 |
+
"epoch": 0.73,
|
1802 |
+
"learning_rate": 0.00025994204437347537,
|
1803 |
+
"loss": 0.5792,
|
1804 |
+
"step": 261
|
1805 |
+
},
|
1806 |
+
{
|
1807 |
+
"epoch": 0.74,
|
1808 |
+
"learning_rate": 0.00025961097645084885,
|
1809 |
+
"loss": 0.6365,
|
1810 |
+
"step": 262
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"epoch": 0.74,
|
1814 |
+
"learning_rate": 0.0002592787587609465,
|
1815 |
+
"loss": 0.4429,
|
1816 |
+
"step": 263
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"epoch": 0.74,
|
1820 |
+
"learning_rate": 0.00025894539478857445,
|
1821 |
+
"loss": 0.6505,
|
1822 |
+
"step": 264
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.74,
|
1826 |
+
"learning_rate": 0.00025861088803056325,
|
1827 |
+
"loss": 0.4626,
|
1828 |
+
"step": 265
|
1829 |
+
},
|
1830 |
+
{
|
1831 |
+
"epoch": 0.75,
|
1832 |
+
"learning_rate": 0.0002582752419957303,
|
1833 |
+
"loss": 0.4521,
|
1834 |
+
"step": 266
|
1835 |
+
},
|
1836 |
+
{
|
1837 |
+
"epoch": 0.75,
|
1838 |
+
"learning_rate": 0.0002579384602048438,
|
1839 |
+
"loss": 0.5703,
|
1840 |
+
"step": 267
|
1841 |
+
},
|
1842 |
+
{
|
1843 |
+
"epoch": 0.75,
|
1844 |
+
"learning_rate": 0.00025760054619058535,
|
1845 |
+
"loss": 0.6705,
|
1846 |
+
"step": 268
|
1847 |
+
},
|
1848 |
+
{
|
1849 |
+
"epoch": 0.76,
|
1850 |
+
"learning_rate": 0.00025726150349751305,
|
1851 |
+
"loss": 0.5355,
|
1852 |
+
"step": 269
|
1853 |
+
},
|
1854 |
+
{
|
1855 |
+
"epoch": 0.76,
|
1856 |
+
"learning_rate": 0.0002569213356820244,
|
1857 |
+
"loss": 0.6653,
|
1858 |
+
"step": 270
|
1859 |
+
},
|
1860 |
+
{
|
1861 |
+
"epoch": 0.76,
|
1862 |
+
"learning_rate": 0.0002565800463123187,
|
1863 |
+
"loss": 0.6273,
|
1864 |
+
"step": 271
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.76,
|
1868 |
+
"learning_rate": 0.0002562376389683599,
|
1869 |
+
"loss": 0.5154,
|
1870 |
+
"step": 272
|
1871 |
+
},
|
1872 |
+
{
|
1873 |
+
"epoch": 0.77,
|
1874 |
+
"learning_rate": 0.00025589411724183923,
|
1875 |
+
"loss": 0.5249,
|
1876 |
+
"step": 273
|
1877 |
+
},
|
1878 |
+
{
|
1879 |
+
"epoch": 0.77,
|
1880 |
+
"learning_rate": 0.0002555494847361369,
|
1881 |
+
"loss": 0.5534,
|
1882 |
+
"step": 274
|
1883 |
+
},
|
1884 |
+
{
|
1885 |
+
"epoch": 0.77,
|
1886 |
+
"learning_rate": 0.0002552037450662849,
|
1887 |
+
"loss": 0.5484,
|
1888 |
+
"step": 275
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 0.77,
|
1892 |
+
"eval_loss": 0.5245066285133362,
|
1893 |
+
"eval_runtime": 26.2644,
|
1894 |
+
"eval_samples_per_second": 7.615,
|
1895 |
+
"eval_steps_per_second": 1.904,
|
1896 |
+
"step": 275
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"dharma_eval_accuracy": 0.41176847249521764,
|
1900 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.5740740740740741,
|
1901 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5370370370370371,
|
1902 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
1903 |
+
"dharma_eval_accuracy_MMLU": 0.42592592592592593,
|
1904 |
+
"dharma_eval_accuracy_agieval": 0.2711864406779661,
|
1905 |
+
"dharma_eval_accuracy_bigbench": 0.36065573770491804,
|
1906 |
+
"dharma_eval_accuracy_openbookqa": 0.09259259259259259,
|
1907 |
+
"dharma_eval_accuracy_truthful_qa": 0.35185185185185186,
|
1908 |
+
"dharma_eval_accuracy_winogrande": 0.3888888888888889,
|
1909 |
+
"dharma_loss": 2.512154397010803,
|
1910 |
+
"epoch": 0.77,
|
1911 |
+
"step": 275
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 0.77,
|
1915 |
+
"learning_rate": 0.0002548569018589286,
|
1916 |
+
"loss": 0.5051,
|
1917 |
+
"step": 276
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 0.78,
|
1921 |
+
"learning_rate": 0.0002545089587522893,
|
1922 |
+
"loss": 0.6745,
|
1923 |
+
"step": 277
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 0.78,
|
1927 |
+
"learning_rate": 0.0002541599193961254,
|
1928 |
+
"loss": 0.5438,
|
1929 |
+
"step": 278
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 0.78,
|
1933 |
+
"learning_rate": 0.0002538097874516947,
|
1934 |
+
"loss": 0.5899,
|
1935 |
+
"step": 279
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 0.79,
|
1939 |
+
"learning_rate": 0.00025345856659171563,
|
1940 |
+
"loss": 0.4745,
|
1941 |
+
"step": 280
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.79,
|
1945 |
+
"learning_rate": 0.0002531062605003287,
|
1946 |
+
"loss": 0.4939,
|
1947 |
+
"step": 281
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 0.79,
|
1951 |
+
"learning_rate": 0.00025275287287305814,
|
1952 |
+
"loss": 0.487,
|
1953 |
+
"step": 282
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 0.79,
|
1957 |
+
"learning_rate": 0.00025239840741677304,
|
1958 |
+
"loss": 0.4682,
|
1959 |
+
"step": 283
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 0.8,
|
1963 |
+
"learning_rate": 0.00025204286784964817,
|
1964 |
+
"loss": 0.8083,
|
1965 |
+
"step": 284
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 0.8,
|
1969 |
+
"learning_rate": 0.00025168625790112547,
|
1970 |
+
"loss": 0.4625,
|
1971 |
+
"step": 285
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 0.8,
|
1975 |
+
"learning_rate": 0.00025132858131187444,
|
1976 |
+
"loss": 0.5517,
|
1977 |
+
"step": 286
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 0.81,
|
1981 |
+
"learning_rate": 0.00025096984183375334,
|
1982 |
+
"loss": 0.5384,
|
1983 |
+
"step": 287
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.81,
|
1987 |
+
"learning_rate": 0.0002506100432297695,
|
1988 |
+
"loss": 0.5904,
|
1989 |
+
"step": 288
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 0.81,
|
1993 |
+
"learning_rate": 0.00025024918927404004,
|
1994 |
+
"loss": 0.5956,
|
1995 |
+
"step": 289
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 0.81,
|
1999 |
+
"learning_rate": 0.00024988728375175214,
|
2000 |
+
"loss": 0.5965,
|
2001 |
+
"step": 290
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 0.82,
|
2005 |
+
"learning_rate": 0.00024952433045912354,
|
2006 |
+
"loss": 0.4771,
|
2007 |
+
"step": 291
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 0.82,
|
2011 |
+
"learning_rate": 0.00024916033320336264,
|
2012 |
+
"loss": 0.6467,
|
2013 |
+
"step": 292
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 0.82,
|
2017 |
+
"learning_rate": 0.00024879529580262817,
|
2018 |
+
"loss": 0.544,
|
2019 |
+
"step": 293
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 0.83,
|
2023 |
+
"learning_rate": 0.00024842922208598994,
|
2024 |
+
"loss": 0.6526,
|
2025 |
+
"step": 294
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.83,
|
2029 |
+
"learning_rate": 0.0002480621158933879,
|
2030 |
+
"loss": 0.5648,
|
2031 |
+
"step": 295
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 0.83,
|
2035 |
+
"learning_rate": 0.00024769398107559224,
|
2036 |
+
"loss": 0.5017,
|
2037 |
+
"step": 296
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 0.83,
|
2041 |
+
"learning_rate": 0.0002473248214941632,
|
2042 |
+
"loss": 0.5809,
|
2043 |
+
"step": 297
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 0.84,
|
2047 |
+
"learning_rate": 0.00024695464102141,
|
2048 |
+
"loss": 0.4759,
|
2049 |
+
"step": 298
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 0.84,
|
2053 |
+
"learning_rate": 0.0002465834435403506,
|
2054 |
+
"loss": 0.4493,
|
2055 |
+
"step": 299
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 0.84,
|
2059 |
+
"learning_rate": 0.00024621123294467096,
|
2060 |
+
"loss": 0.5887,
|
2061 |
+
"step": 300
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 0.84,
|
2065 |
+
"eval_loss": 0.5127784609794617,
|
2066 |
+
"eval_runtime": 26.3008,
|
2067 |
+
"eval_samples_per_second": 7.604,
|
2068 |
+
"eval_steps_per_second": 1.901,
|
2069 |
+
"step": 300
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"dharma_eval_accuracy": 0.4206398210751272,
|
2073 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145,
|
2074 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5185185185185185,
|
2075 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
2076 |
+
"dharma_eval_accuracy_MMLU": 0.37037037037037035,
|
2077 |
+
"dharma_eval_accuracy_agieval": 0.2711864406779661,
|
2078 |
+
"dharma_eval_accuracy_bigbench": 0.45901639344262296,
|
2079 |
+
"dharma_eval_accuracy_openbookqa": 0.09259259259259259,
|
2080 |
+
"dharma_eval_accuracy_truthful_qa": 0.4074074074074074,
|
2081 |
+
"dharma_eval_accuracy_winogrande": 0.48148148148148145,
|
2082 |
+
"dharma_loss": 2.5652906007766725,
|
2083 |
+
"epoch": 0.84,
|
2084 |
+
"step": 300
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 0.84,
|
2088 |
+
"learning_rate": 0.00024583801313868416,
|
2089 |
+
"loss": 0.419,
|
2090 |
+
"step": 301
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 0.85,
|
2094 |
+
"learning_rate": 0.0002454637880372892,
|
2095 |
+
"loss": 0.4721,
|
2096 |
+
"step": 302
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 0.85,
|
2100 |
+
"learning_rate": 0.0002450885615659305,
|
2101 |
+
"loss": 0.4429,
|
2102 |
+
"step": 303
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.85,
|
2106 |
+
"learning_rate": 0.00024471233766055605,
|
2107 |
+
"loss": 0.6384,
|
2108 |
+
"step": 304
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 0.86,
|
2112 |
+
"learning_rate": 0.00024433512026757664,
|
2113 |
+
"loss": 0.6378,
|
2114 |
+
"step": 305
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 0.86,
|
2118 |
+
"learning_rate": 0.00024395691334382427,
|
2119 |
+
"loss": 0.5599,
|
2120 |
+
"step": 306
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 0.86,
|
2124 |
+
"learning_rate": 0.00024357772085651055,
|
2125 |
+
"loss": 0.4861,
|
2126 |
+
"step": 307
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 0.86,
|
2130 |
+
"learning_rate": 0.00024319754678318528,
|
2131 |
+
"loss": 0.4794,
|
2132 |
+
"step": 308
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 0.87,
|
2136 |
+
"learning_rate": 0.00024281639511169456,
|
2137 |
+
"loss": 0.394,
|
2138 |
+
"step": 309
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 0.87,
|
2142 |
+
"learning_rate": 0.0002424342698401391,
|
2143 |
+
"loss": 0.703,
|
2144 |
+
"step": 310
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.87,
|
2148 |
+
"learning_rate": 0.00024205117497683209,
|
2149 |
+
"loss": 0.5961,
|
2150 |
+
"step": 311
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 0.88,
|
2154 |
+
"learning_rate": 0.0002416671145402575,
|
2155 |
+
"loss": 0.5959,
|
2156 |
+
"step": 312
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 0.88,
|
2160 |
+
"learning_rate": 0.0002412820925590275,
|
2161 |
+
"loss": 0.7628,
|
2162 |
+
"step": 313
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 0.88,
|
2166 |
+
"learning_rate": 0.00024089611307184048,
|
2167 |
+
"loss": 0.4302,
|
2168 |
+
"step": 314
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 0.88,
|
2172 |
+
"learning_rate": 0.0002405091801274387,
|
2173 |
+
"loss": 0.4601,
|
2174 |
+
"step": 315
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 0.89,
|
2178 |
+
"learning_rate": 0.00024012129778456552,
|
2179 |
+
"loss": 0.5376,
|
2180 |
+
"step": 316
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 0.89,
|
2184 |
+
"learning_rate": 0.00023973247011192325,
|
2185 |
+
"loss": 0.6526,
|
2186 |
+
"step": 317
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.89,
|
2190 |
+
"learning_rate": 0.0002393427011881302,
|
2191 |
+
"loss": 0.7244,
|
2192 |
+
"step": 318
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 0.9,
|
2196 |
+
"learning_rate": 0.0002389519951016779,
|
2197 |
+
"loss": 0.7522,
|
2198 |
+
"step": 319
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 0.9,
|
2202 |
+
"learning_rate": 0.00023856035595088839,
|
2203 |
+
"loss": 0.901,
|
2204 |
+
"step": 320
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 0.9,
|
2208 |
+
"learning_rate": 0.00023816778784387094,
|
2209 |
+
"loss": 0.6776,
|
2210 |
+
"step": 321
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 0.9,
|
2214 |
+
"learning_rate": 0.00023777429489847934,
|
2215 |
+
"loss": 0.6197,
|
2216 |
+
"step": 322
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 0.91,
|
2220 |
+
"learning_rate": 0.0002373798812422683,
|
2221 |
+
"loss": 0.3997,
|
2222 |
+
"step": 323
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 0.91,
|
2226 |
+
"learning_rate": 0.0002369845510124505,
|
2227 |
+
"loss": 0.3073,
|
2228 |
+
"step": 324
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.91,
|
2232 |
+
"learning_rate": 0.0002365883083558529,
|
2233 |
+
"loss": 0.5186,
|
2234 |
+
"step": 325
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 0.91,
|
2238 |
+
"eval_loss": 0.5124163627624512,
|
2239 |
+
"eval_runtime": 26.2196,
|
2240 |
+
"eval_samples_per_second": 7.628,
|
2241 |
+
"eval_steps_per_second": 1.907,
|
2242 |
+
"step": 325
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"dharma_eval_accuracy": 0.3996080301226793,
|
2246 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.5,
|
2247 |
+
"dharma_eval_accuracy_ARC-Easy": 0.48148148148148145,
|
2248 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
2249 |
+
"dharma_eval_accuracy_MMLU": 0.42592592592592593,
|
2250 |
+
"dharma_eval_accuracy_agieval": 0.3220338983050847,
|
2251 |
+
"dharma_eval_accuracy_bigbench": 0.3114754098360656,
|
2252 |
+
"dharma_eval_accuracy_openbookqa": 0.09259259259259259,
|
2253 |
+
"dharma_eval_accuracy_truthful_qa": 0.42592592592592593,
|
2254 |
+
"dharma_eval_accuracy_winogrande": 0.3333333333333333,
|
2255 |
+
"dharma_loss": 2.396534740447998,
|
2256 |
+
"epoch": 0.91,
|
2257 |
+
"step": 325
|
2258 |
+
},
|
2259 |
+
{
|
2260 |
+
"epoch": 0.92,
|
2261 |
+
"learning_rate": 0.00023619115742887356,
|
2262 |
+
"loss": 0.3524,
|
2263 |
+
"step": 326
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.92,
|
2267 |
+
"learning_rate": 0.00023579310239743773,
|
2268 |
+
"loss": 0.5638,
|
2269 |
+
"step": 327
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 0.92,
|
2273 |
+
"learning_rate": 0.00023539414743695437,
|
2274 |
+
"loss": 0.4728,
|
2275 |
+
"step": 328
|
2276 |
+
},
|
2277 |
+
{
|
2278 |
+
"epoch": 0.92,
|
2279 |
+
"learning_rate": 0.00023499429673227222,
|
2280 |
+
"loss": 0.6048,
|
2281 |
+
"step": 329
|
2282 |
+
},
|
2283 |
+
{
|
2284 |
+
"epoch": 0.93,
|
2285 |
+
"learning_rate": 0.00023459355447763596,
|
2286 |
+
"loss": 0.5342,
|
2287 |
+
"step": 330
|
2288 |
+
},
|
2289 |
+
{
|
2290 |
+
"epoch": 0.93,
|
2291 |
+
"learning_rate": 0.00023419192487664217,
|
2292 |
+
"loss": 0.5119,
|
2293 |
+
"step": 331
|
2294 |
+
},
|
2295 |
+
{
|
2296 |
+
"epoch": 0.93,
|
2297 |
+
"learning_rate": 0.0002337894121421954,
|
2298 |
+
"loss": 0.4893,
|
2299 |
+
"step": 332
|
2300 |
+
},
|
2301 |
+
{
|
2302 |
+
"epoch": 0.93,
|
2303 |
+
"learning_rate": 0.0002333860204964637,
|
2304 |
+
"loss": 0.5625,
|
2305 |
+
"step": 333
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.94,
|
2309 |
+
"learning_rate": 0.00023298175417083459,
|
2310 |
+
"loss": 0.6029,
|
2311 |
+
"step": 334
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 0.94,
|
2315 |
+
"learning_rate": 0.0002325766174058705,
|
2316 |
+
"loss": 0.5609,
|
2317 |
+
"step": 335
|
2318 |
+
},
|
2319 |
+
{
|
2320 |
+
"epoch": 0.94,
|
2321 |
+
"learning_rate": 0.0002321706144512644,
|
2322 |
+
"loss": 0.4422,
|
2323 |
+
"step": 336
|
2324 |
+
},
|
2325 |
+
{
|
2326 |
+
"epoch": 0.95,
|
2327 |
+
"learning_rate": 0.0002317637495657952,
|
2328 |
+
"loss": 0.4773,
|
2329 |
+
"step": 337
|
2330 |
+
},
|
2331 |
+
{
|
2332 |
+
"epoch": 0.95,
|
2333 |
+
"learning_rate": 0.000231356027017283,
|
2334 |
+
"loss": 0.5279,
|
2335 |
+
"step": 338
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"epoch": 0.95,
|
2339 |
+
"learning_rate": 0.00023094745108254435,
|
2340 |
+
"loss": 0.5441,
|
2341 |
+
"step": 339
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 0.95,
|
2345 |
+
"learning_rate": 0.00023053802604734757,
|
2346 |
+
"loss": 0.6003,
|
2347 |
+
"step": 340
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.96,
|
2351 |
+
"learning_rate": 0.00023012775620636746,
|
2352 |
+
"loss": 0.5532,
|
2353 |
+
"step": 341
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 0.96,
|
2357 |
+
"learning_rate": 0.00022971664586314054,
|
2358 |
+
"loss": 0.6534,
|
2359 |
+
"step": 342
|
2360 |
+
},
|
2361 |
+
{
|
2362 |
+
"epoch": 0.96,
|
2363 |
+
"learning_rate": 0.00022930469933001975,
|
2364 |
+
"loss": 0.5123,
|
2365 |
+
"step": 343
|
2366 |
+
},
|
2367 |
+
{
|
2368 |
+
"epoch": 0.97,
|
2369 |
+
"learning_rate": 0.00022889192092812938,
|
2370 |
+
"loss": 0.4821,
|
2371 |
+
"step": 344
|
2372 |
+
},
|
2373 |
+
{
|
2374 |
+
"epoch": 0.97,
|
2375 |
+
"learning_rate": 0.0002284783149873195,
|
2376 |
+
"loss": 0.6106,
|
2377 |
+
"step": 345
|
2378 |
+
},
|
2379 |
+
{
|
2380 |
+
"epoch": 0.97,
|
2381 |
+
"learning_rate": 0.00022806388584612066,
|
2382 |
+
"loss": 0.6158,
|
2383 |
+
"step": 346
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 0.97,
|
2387 |
+
"learning_rate": 0.00022764863785169854,
|
2388 |
+
"loss": 0.595,
|
2389 |
+
"step": 347
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.98,
|
2393 |
+
"learning_rate": 0.000227232575359808,
|
2394 |
+
"loss": 0.5091,
|
2395 |
+
"step": 348
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 0.98,
|
2399 |
+
"learning_rate": 0.0002268157027347478,
|
2400 |
+
"loss": 0.3905,
|
2401 |
+
"step": 349
|
2402 |
+
},
|
2403 |
+
{
|
2404 |
+
"epoch": 0.98,
|
2405 |
+
"learning_rate": 0.00022639802434931444,
|
2406 |
+
"loss": 0.6038,
|
2407 |
+
"step": 350
|
2408 |
+
},
|
2409 |
+
{
|
2410 |
+
"epoch": 0.98,
|
2411 |
+
"eval_loss": 0.5118417143821716,
|
2412 |
+
"eval_runtime": 26.228,
|
2413 |
+
"eval_samples_per_second": 7.625,
|
2414 |
+
"eval_steps_per_second": 1.906,
|
2415 |
+
"step": 350
|
2416 |
+
},
|
2417 |
+
{
|
2418 |
+
"dharma_eval_accuracy": 0.40288626127285015,
|
2419 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.4074074074074074,
|
2420 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5555555555555556,
|
2421 |
+
"dharma_eval_accuracy_BoolQ": 0.7407407407407407,
|
2422 |
+
"dharma_eval_accuracy_MMLU": 0.3148148148148148,
|
2423 |
+
"dharma_eval_accuracy_agieval": 0.2033898305084746,
|
2424 |
+
"dharma_eval_accuracy_bigbench": 0.3114754098360656,
|
2425 |
+
"dharma_eval_accuracy_openbookqa": 0.18518518518518517,
|
2426 |
+
"dharma_eval_accuracy_truthful_qa": 0.4444444444444444,
|
2427 |
+
"dharma_eval_accuracy_winogrande": 0.46296296296296297,
|
2428 |
+
"dharma_loss": 2.5560754494667055,
|
2429 |
+
"epoch": 0.98,
|
2430 |
+
"step": 350
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 0.99,
|
2434 |
+
"learning_rate": 0.0002259795445847566,
|
2435 |
+
"loss": 0.5352,
|
2436 |
+
"step": 351
|
2437 |
+
},
|
2438 |
+
{
|
2439 |
+
"epoch": 0.99,
|
2440 |
+
"learning_rate": 0.00022556026783072895,
|
2441 |
+
"loss": 0.374,
|
2442 |
+
"step": 352
|
2443 |
+
},
|
2444 |
+
{
|
2445 |
+
"epoch": 0.99,
|
2446 |
+
"learning_rate": 0.00022514019848524628,
|
2447 |
+
"loss": 0.5222,
|
2448 |
+
"step": 353
|
2449 |
+
},
|
2450 |
+
{
|
2451 |
+
"epoch": 0.99,
|
2452 |
+
"learning_rate": 0.00022471934095463723,
|
2453 |
+
"loss": 0.4099,
|
2454 |
+
"step": 354
|
2455 |
+
},
|
2456 |
+
{
|
2457 |
+
"epoch": 1.0,
|
2458 |
+
"learning_rate": 0.00022429769965349815,
|
2459 |
+
"loss": 0.4797,
|
2460 |
+
"step": 355
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 1.0,
|
2464 |
+
"learning_rate": 0.00022387527900464673,
|
2465 |
+
"loss": 0.454,
|
2466 |
+
"step": 356
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 1.0,
|
2470 |
+
"learning_rate": 0.00022345208343907576,
|
2471 |
+
"loss": 0.6351,
|
2472 |
+
"step": 357
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 1.0,
|
2476 |
+
"learning_rate": 0.00022302811739590642,
|
2477 |
+
"loss": 0.4919,
|
2478 |
+
"step": 358
|
2479 |
+
},
|
2480 |
+
{
|
2481 |
+
"epoch": 1.01,
|
2482 |
+
"learning_rate": 0.00022260338532234194,
|
2483 |
+
"loss": 0.4066,
|
2484 |
+
"step": 359
|
2485 |
+
},
|
2486 |
+
{
|
2487 |
+
"epoch": 1.01,
|
2488 |
+
"learning_rate": 0.00022217789167362073,
|
2489 |
+
"loss": 0.5947,
|
2490 |
+
"step": 360
|
2491 |
+
},
|
2492 |
+
{
|
2493 |
+
"epoch": 1.01,
|
2494 |
+
"learning_rate": 0.00022175164091296987,
|
2495 |
+
"loss": 0.6658,
|
2496 |
+
"step": 361
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 1.02,
|
2500 |
+
"learning_rate": 0.00022132463751155812,
|
2501 |
+
"loss": 0.6098,
|
2502 |
+
"step": 362
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 1.02,
|
2506 |
+
"learning_rate": 0.00022089688594844915,
|
2507 |
+
"loss": 0.5961,
|
2508 |
+
"step": 363
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 1.02,
|
2512 |
+
"learning_rate": 0.00022046839071055435,
|
2513 |
+
"loss": 0.3676,
|
2514 |
+
"step": 364
|
2515 |
+
},
|
2516 |
+
{
|
2517 |
+
"epoch": 1.02,
|
2518 |
+
"learning_rate": 0.00022003915629258605,
|
2519 |
+
"loss": 0.485,
|
2520 |
+
"step": 365
|
2521 |
+
},
|
2522 |
+
{
|
2523 |
+
"epoch": 1.03,
|
2524 |
+
"learning_rate": 0.00021960918719701026,
|
2525 |
+
"loss": 0.506,
|
2526 |
+
"step": 366
|
2527 |
+
},
|
2528 |
+
{
|
2529 |
+
"epoch": 1.03,
|
2530 |
+
"learning_rate": 0.00021917848793399924,
|
2531 |
+
"loss": 0.4384,
|
2532 |
+
"step": 367
|
2533 |
+
},
|
2534 |
+
{
|
2535 |
+
"epoch": 1.03,
|
2536 |
+
"learning_rate": 0.00021874706302138448,
|
2537 |
+
"loss": 0.5722,
|
2538 |
+
"step": 368
|
2539 |
+
},
|
2540 |
+
{
|
2541 |
+
"epoch": 1.04,
|
2542 |
+
"learning_rate": 0.00021831491698460923,
|
2543 |
+
"loss": 0.4142,
|
2544 |
+
"step": 369
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 1.04,
|
2548 |
+
"learning_rate": 0.00021788205435668083,
|
2549 |
+
"loss": 0.4151,
|
2550 |
+
"step": 370
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 1.04,
|
2554 |
+
"learning_rate": 0.0002174484796781235,
|
2555 |
+
"loss": 0.4785,
|
2556 |
+
"step": 371
|
2557 |
+
},
|
2558 |
+
{
|
2559 |
+
"epoch": 1.04,
|
2560 |
+
"learning_rate": 0.00021701419749693034,
|
2561 |
+
"loss": 0.406,
|
2562 |
+
"step": 372
|
2563 |
+
},
|
2564 |
+
{
|
2565 |
+
"epoch": 1.05,
|
2566 |
+
"learning_rate": 0.00021657921236851603,
|
2567 |
+
"loss": 0.3883,
|
2568 |
+
"step": 373
|
2569 |
+
},
|
2570 |
+
{
|
2571 |
+
"epoch": 1.05,
|
2572 |
+
"learning_rate": 0.00021614352885566872,
|
2573 |
+
"loss": 0.508,
|
2574 |
+
"step": 374
|
2575 |
+
},
|
2576 |
+
{
|
2577 |
+
"epoch": 1.05,
|
2578 |
+
"learning_rate": 0.00021570715152850232,
|
2579 |
+
"loss": 0.481,
|
2580 |
+
"step": 375
|
2581 |
+
},
|
2582 |
+
{
|
2583 |
+
"epoch": 1.05,
|
2584 |
+
"eval_loss": 0.5141562223434448,
|
2585 |
+
"eval_runtime": 26.3236,
|
2586 |
+
"eval_samples_per_second": 7.598,
|
2587 |
+
"eval_steps_per_second": 1.899,
|
2588 |
+
"step": 375
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"dharma_eval_accuracy": 0.41410737093179745,
|
2592 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073,
|
2593 |
+
"dharma_eval_accuracy_ARC-Easy": 0.35185185185185186,
|
2594 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
2595 |
+
"dharma_eval_accuracy_MMLU": 0.2222222222222222,
|
2596 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
2597 |
+
"dharma_eval_accuracy_bigbench": 0.5081967213114754,
|
2598 |
+
"dharma_eval_accuracy_openbookqa": 0.25925925925925924,
|
2599 |
+
"dharma_eval_accuracy_truthful_qa": 0.7037037037037037,
|
2600 |
+
"dharma_eval_accuracy_winogrande": 0.5,
|
2601 |
+
"dharma_loss": 2.894161937713623,
|
2602 |
+
"epoch": 1.05,
|
2603 |
+
"step": 375
|
2604 |
+
},
|
2605 |
+
{
|
2606 |
+
"epoch": 1.06,
|
2607 |
+
"learning_rate": 0.00021527008496440846,
|
2608 |
+
"loss": 0.6044,
|
2609 |
+
"step": 376
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"epoch": 1.06,
|
2613 |
+
"learning_rate": 0.00021483233374800862,
|
2614 |
+
"loss": 0.5436,
|
2615 |
+
"step": 377
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 1.06,
|
2619 |
+
"learning_rate": 0.00021439390247110588,
|
2620 |
+
"loss": 0.336,
|
2621 |
+
"step": 378
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 1.06,
|
2625 |
+
"learning_rate": 0.00021395479573263688,
|
2626 |
+
"loss": 0.6639,
|
2627 |
+
"step": 379
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 1.07,
|
2631 |
+
"learning_rate": 0.00021351501813862356,
|
2632 |
+
"loss": 0.4795,
|
2633 |
+
"step": 380
|
2634 |
+
},
|
2635 |
+
{
|
2636 |
+
"epoch": 1.07,
|
2637 |
+
"learning_rate": 0.00021307457430212468,
|
2638 |
+
"loss": 0.4301,
|
2639 |
+
"step": 381
|
2640 |
+
},
|
2641 |
+
{
|
2642 |
+
"epoch": 1.07,
|
2643 |
+
"learning_rate": 0.00021263346884318777,
|
2644 |
+
"loss": 0.6004,
|
2645 |
+
"step": 382
|
2646 |
+
},
|
2647 |
+
{
|
2648 |
+
"epoch": 1.08,
|
2649 |
+
"learning_rate": 0.00021219170638880037,
|
2650 |
+
"loss": 0.3414,
|
2651 |
+
"step": 383
|
2652 |
+
},
|
2653 |
+
{
|
2654 |
+
"epoch": 1.08,
|
2655 |
+
"learning_rate": 0.00021174929157284156,
|
2656 |
+
"loss": 0.3466,
|
2657 |
+
"step": 384
|
2658 |
+
},
|
2659 |
+
{
|
2660 |
+
"epoch": 1.08,
|
2661 |
+
"learning_rate": 0.00021130622903603344,
|
2662 |
+
"loss": 0.4323,
|
2663 |
+
"step": 385
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 1.08,
|
2667 |
+
"learning_rate": 0.0002108625234258923,
|
2668 |
+
"loss": 0.4462,
|
2669 |
+
"step": 386
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 1.09,
|
2673 |
+
"learning_rate": 0.00021041817939668005,
|
2674 |
+
"loss": 0.5546,
|
2675 |
+
"step": 387
|
2676 |
+
},
|
2677 |
+
{
|
2678 |
+
"epoch": 1.09,
|
2679 |
+
"learning_rate": 0.00020997320160935534,
|
2680 |
+
"loss": 0.3643,
|
2681 |
+
"step": 388
|
2682 |
+
},
|
2683 |
+
{
|
2684 |
+
"epoch": 1.09,
|
2685 |
+
"learning_rate": 0.00020952759473152457,
|
2686 |
+
"loss": 0.3303,
|
2687 |
+
"step": 389
|
2688 |
+
},
|
2689 |
+
{
|
2690 |
+
"epoch": 1.09,
|
2691 |
+
"learning_rate": 0.00020908136343739307,
|
2692 |
+
"loss": 0.4555,
|
2693 |
+
"step": 390
|
2694 |
+
},
|
2695 |
+
{
|
2696 |
+
"epoch": 1.1,
|
2697 |
+
"learning_rate": 0.00020863451240771592,
|
2698 |
+
"loss": 0.4731,
|
2699 |
+
"step": 391
|
2700 |
+
},
|
2701 |
+
{
|
2702 |
+
"epoch": 1.1,
|
2703 |
+
"learning_rate": 0.00020818704632974896,
|
2704 |
+
"loss": 0.4177,
|
2705 |
+
"step": 392
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 1.1,
|
2709 |
+
"learning_rate": 0.00020773896989719965,
|
2710 |
+
"loss": 0.4841,
|
2711 |
+
"step": 393
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 1.11,
|
2715 |
+
"learning_rate": 0.00020729028781017777,
|
2716 |
+
"loss": 0.4863,
|
2717 |
+
"step": 394
|
2718 |
+
},
|
2719 |
+
{
|
2720 |
+
"epoch": 1.11,
|
2721 |
+
"learning_rate": 0.000206841004775146,
|
2722 |
+
"loss": 0.3087,
|
2723 |
+
"step": 395
|
2724 |
+
},
|
2725 |
+
{
|
2726 |
+
"epoch": 1.11,
|
2727 |
+
"learning_rate": 0.00020639112550487084,
|
2728 |
+
"loss": 0.5821,
|
2729 |
+
"step": 396
|
2730 |
+
},
|
2731 |
+
{
|
2732 |
+
"epoch": 1.11,
|
2733 |
+
"learning_rate": 0.000205940654718373,
|
2734 |
+
"loss": 0.521,
|
2735 |
+
"step": 397
|
2736 |
+
},
|
2737 |
+
{
|
2738 |
+
"epoch": 1.12,
|
2739 |
+
"learning_rate": 0.0002054895971408778,
|
2740 |
+
"loss": 0.4498,
|
2741 |
+
"step": 398
|
2742 |
+
},
|
2743 |
+
{
|
2744 |
+
"epoch": 1.12,
|
2745 |
+
"learning_rate": 0.0002050379575037658,
|
2746 |
+
"loss": 0.4921,
|
2747 |
+
"step": 399
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 1.12,
|
2751 |
+
"learning_rate": 0.00020458574054452313,
|
2752 |
+
"loss": 0.4947,
|
2753 |
+
"step": 400
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 1.12,
|
2757 |
+
"eval_loss": 0.5163459777832031,
|
2758 |
+
"eval_runtime": 26.3481,
|
2759 |
+
"eval_samples_per_second": 7.591,
|
2760 |
+
"eval_steps_per_second": 1.898,
|
2761 |
+
"step": 400
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"dharma_eval_accuracy": 0.38530078656965755,
|
2765 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.2777777777777778,
|
2766 |
+
"dharma_eval_accuracy_ARC-Easy": 0.3888888888888889,
|
2767 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
2768 |
+
"dharma_eval_accuracy_MMLU": 0.2222222222222222,
|
2769 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
2770 |
+
"dharma_eval_accuracy_bigbench": 0.5081967213114754,
|
2771 |
+
"dharma_eval_accuracy_openbookqa": 0.09259259259259259,
|
2772 |
+
"dharma_eval_accuracy_truthful_qa": 0.5370370370370371,
|
2773 |
+
"dharma_eval_accuracy_winogrande": 0.5,
|
2774 |
+
"dharma_loss": 2.720780613183975,
|
2775 |
+
"epoch": 1.12,
|
2776 |
+
"step": 400
|
2777 |
+
},
|
2778 |
+
{
|
2779 |
+
"epoch": 1.13,
|
2780 |
+
"learning_rate": 0.00020413295100669165,
|
2781 |
+
"loss": 0.3095,
|
2782 |
+
"step": 401
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 1.13,
|
2786 |
+
"learning_rate": 0.00020367959363981936,
|
2787 |
+
"loss": 0.5584,
|
2788 |
+
"step": 402
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 1.13,
|
2792 |
+
"learning_rate": 0.0002032256731994106,
|
2793 |
+
"loss": 0.6251,
|
2794 |
+
"step": 403
|
2795 |
+
},
|
2796 |
+
{
|
2797 |
+
"epoch": 1.13,
|
2798 |
+
"learning_rate": 0.00020277119444687584,
|
2799 |
+
"loss": 0.4737,
|
2800 |
+
"step": 404
|
2801 |
+
},
|
2802 |
+
{
|
2803 |
+
"epoch": 1.14,
|
2804 |
+
"learning_rate": 0.0002023161621494823,
|
2805 |
+
"loss": 0.4528,
|
2806 |
+
"step": 405
|
2807 |
+
},
|
2808 |
+
{
|
2809 |
+
"epoch": 1.14,
|
2810 |
+
"learning_rate": 0.00020186058108030342,
|
2811 |
+
"loss": 0.4723,
|
2812 |
+
"step": 406
|
2813 |
+
},
|
2814 |
+
{
|
2815 |
+
"epoch": 1.14,
|
2816 |
+
"learning_rate": 0.00020140445601816897,
|
2817 |
+
"loss": 0.4127,
|
2818 |
+
"step": 407
|
2819 |
+
},
|
2820 |
+
{
|
2821 |
+
"epoch": 1.15,
|
2822 |
+
"learning_rate": 0.00020094779174761505,
|
2823 |
+
"loss": 0.4784,
|
2824 |
+
"step": 408
|
2825 |
+
},
|
2826 |
+
{
|
2827 |
+
"epoch": 1.15,
|
2828 |
+
"learning_rate": 0.00020049059305883379,
|
2829 |
+
"loss": 0.426,
|
2830 |
+
"step": 409
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 1.15,
|
2834 |
+
"learning_rate": 0.0002000328647476231,
|
2835 |
+
"loss": 0.6978,
|
2836 |
+
"step": 410
|
2837 |
+
},
|
2838 |
+
{
|
2839 |
+
"epoch": 1.15,
|
2840 |
+
"learning_rate": 0.00019957461161533628,
|
2841 |
+
"loss": 0.3775,
|
2842 |
+
"step": 411
|
2843 |
+
},
|
2844 |
+
{
|
2845 |
+
"epoch": 1.16,
|
2846 |
+
"learning_rate": 0.00019911583846883197,
|
2847 |
+
"loss": 0.4139,
|
2848 |
+
"step": 412
|
2849 |
+
},
|
2850 |
+
{
|
2851 |
+
"epoch": 1.16,
|
2852 |
+
"learning_rate": 0.00019865655012042335,
|
2853 |
+
"loss": 0.4038,
|
2854 |
+
"step": 413
|
2855 |
+
},
|
2856 |
+
{
|
2857 |
+
"epoch": 1.16,
|
2858 |
+
"learning_rate": 0.00019819675138782784,
|
2859 |
+
"loss": 0.3976,
|
2860 |
+
"step": 414
|
2861 |
+
},
|
2862 |
+
{
|
2863 |
+
"epoch": 1.16,
|
2864 |
+
"learning_rate": 0.0001977364470941166,
|
2865 |
+
"loss": 0.4561,
|
2866 |
+
"step": 415
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 1.17,
|
2870 |
+
"learning_rate": 0.0001972756420676638,
|
2871 |
+
"loss": 0.5168,
|
2872 |
+
"step": 416
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 1.17,
|
2876 |
+
"learning_rate": 0.00019681434114209614,
|
2877 |
+
"loss": 0.6435,
|
2878 |
+
"step": 417
|
2879 |
+
},
|
2880 |
+
{
|
2881 |
+
"epoch": 1.17,
|
2882 |
+
"learning_rate": 0.0001963525491562421,
|
2883 |
+
"loss": 0.406,
|
2884 |
+
"step": 418
|
2885 |
+
},
|
2886 |
+
{
|
2887 |
+
"epoch": 1.18,
|
2888 |
+
"learning_rate": 0.00019589027095408105,
|
2889 |
+
"loss": 0.4184,
|
2890 |
+
"step": 419
|
2891 |
+
},
|
2892 |
+
{
|
2893 |
+
"epoch": 1.18,
|
2894 |
+
"learning_rate": 0.0001954275113846926,
|
2895 |
+
"loss": 0.4418,
|
2896 |
+
"step": 420
|
2897 |
+
},
|
2898 |
+
{
|
2899 |
+
"epoch": 1.18,
|
2900 |
+
"learning_rate": 0.00019496427530220565,
|
2901 |
+
"loss": 0.5278,
|
2902 |
+
"step": 421
|
2903 |
+
},
|
2904 |
+
{
|
2905 |
+
"epoch": 1.18,
|
2906 |
+
"learning_rate": 0.0001945005675657475,
|
2907 |
+
"loss": 0.5906,
|
2908 |
+
"step": 422
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"epoch": 1.19,
|
2912 |
+
"learning_rate": 0.0001940363930393929,
|
2913 |
+
"loss": 0.3454,
|
2914 |
+
"step": 423
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 1.19,
|
2918 |
+
"learning_rate": 0.00019357175659211298,
|
2919 |
+
"loss": 0.6147,
|
2920 |
+
"step": 424
|
2921 |
+
},
|
2922 |
+
{
|
2923 |
+
"epoch": 1.19,
|
2924 |
+
"learning_rate": 0.00019310666309772424,
|
2925 |
+
"loss": 0.3444,
|
2926 |
+
"step": 425
|
2927 |
+
},
|
2928 |
+
{
|
2929 |
+
"epoch": 1.19,
|
2930 |
+
"eval_loss": 0.5132355690002441,
|
2931 |
+
"eval_runtime": 26.3222,
|
2932 |
+
"eval_samples_per_second": 7.598,
|
2933 |
+
"eval_steps_per_second": 1.9,
|
2934 |
+
"step": 425
|
2935 |
+
},
|
2936 |
+
{
|
2937 |
+
"dharma_eval_accuracy": 0.40176169191945177,
|
2938 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.3148148148148148,
|
2939 |
+
"dharma_eval_accuracy_ARC-Easy": 0.4444444444444444,
|
2940 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
2941 |
+
"dharma_eval_accuracy_MMLU": 0.2777777777777778,
|
2942 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
2943 |
+
"dharma_eval_accuracy_bigbench": 0.5081967213114754,
|
2944 |
+
"dharma_eval_accuracy_openbookqa": 0.1111111111111111,
|
2945 |
+
"dharma_eval_accuracy_truthful_qa": 0.5185185185185185,
|
2946 |
+
"dharma_eval_accuracy_winogrande": 0.5,
|
2947 |
+
"dharma_loss": 2.5127969179153444,
|
2948 |
+
"epoch": 1.19,
|
2949 |
+
"step": 425
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 1.2,
|
2953 |
+
"learning_rate": 0.0001926411174348373,
|
2954 |
+
"loss": 0.529,
|
2955 |
+
"step": 426
|
2956 |
+
},
|
2957 |
+
{
|
2958 |
+
"epoch": 1.2,
|
2959 |
+
"learning_rate": 0.00019217512448680584,
|
2960 |
+
"loss": 0.4912,
|
2961 |
+
"step": 427
|
2962 |
+
},
|
2963 |
+
{
|
2964 |
+
"epoch": 1.2,
|
2965 |
+
"learning_rate": 0.0001917086891416755,
|
2966 |
+
"loss": 0.3229,
|
2967 |
+
"step": 428
|
2968 |
+
},
|
2969 |
+
{
|
2970 |
+
"epoch": 1.2,
|
2971 |
+
"learning_rate": 0.00019124181629213226,
|
2972 |
+
"loss": 0.628,
|
2973 |
+
"step": 429
|
2974 |
+
},
|
2975 |
+
{
|
2976 |
+
"epoch": 1.21,
|
2977 |
+
"learning_rate": 0.0001907745108354514,
|
2978 |
+
"loss": 0.7983,
|
2979 |
+
"step": 430
|
2980 |
+
},
|
2981 |
+
{
|
2982 |
+
"epoch": 1.21,
|
2983 |
+
"learning_rate": 0.0001903067776734461,
|
2984 |
+
"loss": 0.4891,
|
2985 |
+
"step": 431
|
2986 |
+
},
|
2987 |
+
{
|
2988 |
+
"epoch": 1.21,
|
2989 |
+
"learning_rate": 0.00018983862171241577,
|
2990 |
+
"loss": 0.5963,
|
2991 |
+
"step": 432
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 1.22,
|
2995 |
+
"learning_rate": 0.000189370047863095,
|
2996 |
+
"loss": 0.565,
|
2997 |
+
"step": 433
|
2998 |
+
},
|
2999 |
+
{
|
3000 |
+
"epoch": 1.22,
|
3001 |
+
"learning_rate": 0.00018890106104060174,
|
3002 |
+
"loss": 0.5787,
|
3003 |
+
"step": 434
|
3004 |
+
},
|
3005 |
+
{
|
3006 |
+
"epoch": 1.22,
|
3007 |
+
"learning_rate": 0.0001884316661643858,
|
3008 |
+
"loss": 0.4575,
|
3009 |
+
"step": 435
|
3010 |
+
},
|
3011 |
+
{
|
3012 |
+
"epoch": 1.22,
|
3013 |
+
"learning_rate": 0.00018796186815817743,
|
3014 |
+
"loss": 0.4341,
|
3015 |
+
"step": 436
|
3016 |
+
},
|
3017 |
+
{
|
3018 |
+
"epoch": 1.23,
|
3019 |
+
"learning_rate": 0.00018749167194993528,
|
3020 |
+
"loss": 0.4943,
|
3021 |
+
"step": 437
|
3022 |
+
},
|
3023 |
+
{
|
3024 |
+
"epoch": 1.23,
|
3025 |
+
"learning_rate": 0.0001870210824717951,
|
3026 |
+
"loss": 0.4336,
|
3027 |
+
"step": 438
|
3028 |
+
},
|
3029 |
+
{
|
3030 |
+
"epoch": 1.23,
|
3031 |
+
"learning_rate": 0.0001865501046600179,
|
3032 |
+
"loss": 0.3898,
|
3033 |
+
"step": 439
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 1.24,
|
3037 |
+
"learning_rate": 0.00018607874345493805,
|
3038 |
+
"loss": 0.513,
|
3039 |
+
"step": 440
|
3040 |
+
},
|
3041 |
+
{
|
3042 |
+
"epoch": 1.24,
|
3043 |
+
"learning_rate": 0.0001856070038009115,
|
3044 |
+
"loss": 0.547,
|
3045 |
+
"step": 441
|
3046 |
+
},
|
3047 |
+
{
|
3048 |
+
"epoch": 1.24,
|
3049 |
+
"learning_rate": 0.00018513489064626398,
|
3050 |
+
"loss": 0.683,
|
3051 |
+
"step": 442
|
3052 |
+
},
|
3053 |
+
{
|
3054 |
+
"epoch": 1.24,
|
3055 |
+
"learning_rate": 0.00018466240894323918,
|
3056 |
+
"loss": 0.4327,
|
3057 |
+
"step": 443
|
3058 |
+
},
|
3059 |
+
{
|
3060 |
+
"epoch": 1.25,
|
3061 |
+
"learning_rate": 0.00018418956364794653,
|
3062 |
+
"loss": 0.4861,
|
3063 |
+
"step": 444
|
3064 |
+
},
|
3065 |
+
{
|
3066 |
+
"epoch": 1.25,
|
3067 |
+
"learning_rate": 0.00018371635972030942,
|
3068 |
+
"loss": 0.4755,
|
3069 |
+
"step": 445
|
3070 |
+
},
|
3071 |
+
{
|
3072 |
+
"epoch": 1.25,
|
3073 |
+
"learning_rate": 0.00018324280212401314,
|
3074 |
+
"loss": 0.516,
|
3075 |
+
"step": 446
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 1.25,
|
3079 |
+
"learning_rate": 0.00018276889582645277,
|
3080 |
+
"loss": 0.4033,
|
3081 |
+
"step": 447
|
3082 |
+
},
|
3083 |
+
{
|
3084 |
+
"epoch": 1.26,
|
3085 |
+
"learning_rate": 0.00018229464579868121,
|
3086 |
+
"loss": 0.3444,
|
3087 |
+
"step": 448
|
3088 |
+
},
|
3089 |
+
{
|
3090 |
+
"epoch": 1.26,
|
3091 |
+
"learning_rate": 0.00018182005701535678,
|
3092 |
+
"loss": 0.4507,
|
3093 |
+
"step": 449
|
3094 |
+
},
|
3095 |
+
{
|
3096 |
+
"epoch": 1.26,
|
3097 |
+
"learning_rate": 0.00018134513445469127,
|
3098 |
+
"loss": 0.4974,
|
3099 |
+
"step": 450
|
3100 |
+
},
|
3101 |
+
{
|
3102 |
+
"epoch": 1.26,
|
3103 |
+
"eval_loss": 0.5145830512046814,
|
3104 |
+
"eval_runtime": 26.3311,
|
3105 |
+
"eval_samples_per_second": 7.596,
|
3106 |
+
"eval_steps_per_second": 1.899,
|
3107 |
+
"step": 450
|
3108 |
+
},
|
3109 |
+
{
|
3110 |
+
"dharma_eval_accuracy": 0.44020972903995964,
|
3111 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.3148148148148148,
|
3112 |
+
"dharma_eval_accuracy_ARC-Easy": 0.4444444444444444,
|
3113 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
3114 |
+
"dharma_eval_accuracy_MMLU": 0.2962962962962963,
|
3115 |
+
"dharma_eval_accuracy_agieval": 0.2542372881355932,
|
3116 |
+
"dharma_eval_accuracy_bigbench": 0.5409836065573771,
|
3117 |
+
"dharma_eval_accuracy_openbookqa": 0.2962962962962963,
|
3118 |
+
"dharma_eval_accuracy_truthful_qa": 0.6296296296296297,
|
3119 |
+
"dharma_eval_accuracy_winogrande": 0.48148148148148145,
|
3120 |
+
"dharma_loss": 2.99742707490921,
|
3121 |
+
"epoch": 1.26,
|
3122 |
+
"step": 450
|
3123 |
+
},
|
3124 |
+
{
|
3125 |
+
"epoch": 1.27,
|
3126 |
+
"learning_rate": 0.00018086988309839753,
|
3127 |
+
"loss": 0.5276,
|
3128 |
+
"step": 451
|
3129 |
+
},
|
3130 |
+
{
|
3131 |
+
"epoch": 1.27,
|
3132 |
+
"learning_rate": 0.00018039430793163753,
|
3133 |
+
"loss": 0.603,
|
3134 |
+
"step": 452
|
3135 |
+
},
|
3136 |
+
{
|
3137 |
+
"epoch": 1.27,
|
3138 |
+
"learning_rate": 0.0001799184139429696,
|
3139 |
+
"loss": 0.2147,
|
3140 |
+
"step": 453
|
3141 |
+
},
|
3142 |
+
{
|
3143 |
+
"epoch": 1.27,
|
3144 |
+
"learning_rate": 0.00017944220612429662,
|
3145 |
+
"loss": 0.4451,
|
3146 |
+
"step": 454
|
3147 |
+
},
|
3148 |
+
{
|
3149 |
+
"epoch": 1.28,
|
3150 |
+
"learning_rate": 0.0001789656894708132,
|
3151 |
+
"loss": 0.3871,
|
3152 |
+
"step": 455
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 1.28,
|
3156 |
+
"learning_rate": 0.00017848886898095352,
|
3157 |
+
"loss": 0.531,
|
3158 |
+
"step": 456
|
3159 |
+
},
|
3160 |
+
{
|
3161 |
+
"epoch": 1.28,
|
3162 |
+
"learning_rate": 0.00017801174965633893,
|
3163 |
+
"loss": 0.3615,
|
3164 |
+
"step": 457
|
3165 |
+
},
|
3166 |
+
{
|
3167 |
+
"epoch": 1.29,
|
3168 |
+
"learning_rate": 0.00017753433650172538,
|
3169 |
+
"loss": 0.4243,
|
3170 |
+
"step": 458
|
3171 |
+
},
|
3172 |
+
{
|
3173 |
+
"epoch": 1.29,
|
3174 |
+
"learning_rate": 0.00017705663452495098,
|
3175 |
+
"loss": 0.5004,
|
3176 |
+
"step": 459
|
3177 |
+
},
|
3178 |
+
{
|
3179 |
+
"epoch": 1.29,
|
3180 |
+
"learning_rate": 0.00017657864873688343,
|
3181 |
+
"loss": 0.5854,
|
3182 |
+
"step": 460
|
3183 |
+
},
|
3184 |
+
{
|
3185 |
+
"epoch": 1.29,
|
3186 |
+
"learning_rate": 0.00017610038415136734,
|
3187 |
+
"loss": 0.597,
|
3188 |
+
"step": 461
|
3189 |
+
},
|
3190 |
+
{
|
3191 |
+
"epoch": 1.3,
|
3192 |
+
"learning_rate": 0.00017562184578517203,
|
3193 |
+
"loss": 0.5124,
|
3194 |
+
"step": 462
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 1.3,
|
3198 |
+
"learning_rate": 0.00017514303865793848,
|
3199 |
+
"loss": 0.371,
|
3200 |
+
"step": 463
|
3201 |
+
},
|
3202 |
+
{
|
3203 |
+
"epoch": 1.3,
|
3204 |
+
"learning_rate": 0.00017466396779212693,
|
3205 |
+
"loss": 0.5462,
|
3206 |
+
"step": 464
|
3207 |
+
},
|
3208 |
+
{
|
3209 |
+
"epoch": 1.31,
|
3210 |
+
"learning_rate": 0.00017418463821296395,
|
3211 |
+
"loss": 0.4221,
|
3212 |
+
"step": 465
|
3213 |
+
},
|
3214 |
+
{
|
3215 |
+
"epoch": 1.31,
|
3216 |
+
"learning_rate": 0.00017370505494839012,
|
3217 |
+
"loss": 0.3771,
|
3218 |
+
"step": 466
|
3219 |
+
},
|
3220 |
+
{
|
3221 |
+
"epoch": 1.31,
|
3222 |
+
"learning_rate": 0.00017322522302900696,
|
3223 |
+
"loss": 0.6663,
|
3224 |
+
"step": 467
|
3225 |
+
},
|
3226 |
+
{
|
3227 |
+
"epoch": 1.31,
|
3228 |
+
"learning_rate": 0.00017274514748802418,
|
3229 |
+
"loss": 0.4786,
|
3230 |
+
"step": 468
|
3231 |
+
},
|
3232 |
+
{
|
3233 |
+
"epoch": 1.32,
|
3234 |
+
"learning_rate": 0.00017226483336120707,
|
3235 |
+
"loss": 0.4326,
|
3236 |
+
"step": 469
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 1.32,
|
3240 |
+
"learning_rate": 0.00017178428568682353,
|
3241 |
+
"loss": 0.5531,
|
3242 |
+
"step": 470
|
3243 |
+
},
|
3244 |
+
{
|
3245 |
+
"epoch": 1.32,
|
3246 |
+
"learning_rate": 0.00017130350950559132,
|
3247 |
+
"loss": 0.449,
|
3248 |
+
"step": 471
|
3249 |
+
},
|
3250 |
+
{
|
3251 |
+
"epoch": 1.32,
|
3252 |
+
"learning_rate": 0.00017082250986062502,
|
3253 |
+
"loss": 0.4973,
|
3254 |
+
"step": 472
|
3255 |
+
},
|
3256 |
+
{
|
3257 |
+
"epoch": 1.33,
|
3258 |
+
"learning_rate": 0.00017034129179738328,
|
3259 |
+
"loss": 0.4068,
|
3260 |
+
"step": 473
|
3261 |
+
},
|
3262 |
+
{
|
3263 |
+
"epoch": 1.33,
|
3264 |
+
"learning_rate": 0.00016985986036361598,
|
3265 |
+
"loss": 0.3231,
|
3266 |
+
"step": 474
|
3267 |
+
},
|
3268 |
+
{
|
3269 |
+
"epoch": 1.33,
|
3270 |
+
"learning_rate": 0.00016937822060931096,
|
3271 |
+
"loss": 0.4542,
|
3272 |
+
"step": 475
|
3273 |
+
},
|
3274 |
+
{
|
3275 |
+
"epoch": 1.33,
|
3276 |
+
"eval_loss": 0.5115104913711548,
|
3277 |
+
"eval_runtime": 26.308,
|
3278 |
+
"eval_samples_per_second": 7.602,
|
3279 |
+
"eval_steps_per_second": 1.901,
|
3280 |
+
"step": 475
|
3281 |
+
},
|
3282 |
+
{
|
3283 |
+
"dharma_eval_accuracy": 0.43056827628159167,
|
3284 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.46296296296296297,
|
3285 |
+
"dharma_eval_accuracy_ARC-Easy": 0.4444444444444444,
|
3286 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
3287 |
+
"dharma_eval_accuracy_MMLU": 0.2962962962962963,
|
3288 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
3289 |
+
"dharma_eval_accuracy_bigbench": 0.5081967213114754,
|
3290 |
+
"dharma_eval_accuracy_openbookqa": 0.2037037037037037,
|
3291 |
+
"dharma_eval_accuracy_truthful_qa": 0.5555555555555556,
|
3292 |
+
"dharma_eval_accuracy_winogrande": 0.46296296296296297,
|
3293 |
+
"dharma_loss": 3.081619900226593,
|
3294 |
+
"epoch": 1.33,
|
3295 |
+
"step": 475
|
3296 |
+
},
|
3297 |
+
{
|
3298 |
+
"epoch": 1.34,
|
3299 |
+
"learning_rate": 0.00016889637758664137,
|
3300 |
+
"loss": 0.3903,
|
3301 |
+
"step": 476
|
3302 |
+
},
|
3303 |
+
{
|
3304 |
+
"epoch": 1.34,
|
3305 |
+
"learning_rate": 0.0001684143363499125,
|
3306 |
+
"loss": 0.4442,
|
3307 |
+
"step": 477
|
3308 |
+
},
|
3309 |
+
{
|
3310 |
+
"epoch": 1.34,
|
3311 |
+
"learning_rate": 0.00016793210195550882,
|
3312 |
+
"loss": 0.484,
|
3313 |
+
"step": 478
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 1.34,
|
3317 |
+
"learning_rate": 0.00016744967946184097,
|
3318 |
+
"loss": 0.4949,
|
3319 |
+
"step": 479
|
3320 |
+
},
|
3321 |
+
{
|
3322 |
+
"epoch": 1.35,
|
3323 |
+
"learning_rate": 0.00016696707392929266,
|
3324 |
+
"loss": 0.5704,
|
3325 |
+
"step": 480
|
3326 |
+
},
|
3327 |
+
{
|
3328 |
+
"epoch": 1.35,
|
3329 |
+
"learning_rate": 0.0001664842904201674,
|
3330 |
+
"loss": 0.4988,
|
3331 |
+
"step": 481
|
3332 |
+
},
|
3333 |
+
{
|
3334 |
+
"epoch": 1.35,
|
3335 |
+
"learning_rate": 0.00016600133399863594,
|
3336 |
+
"loss": 0.2734,
|
3337 |
+
"step": 482
|
3338 |
+
},
|
3339 |
+
{
|
3340 |
+
"epoch": 1.36,
|
3341 |
+
"learning_rate": 0.00016551820973068255,
|
3342 |
+
"loss": 0.3876,
|
3343 |
+
"step": 483
|
3344 |
+
},
|
3345 |
+
{
|
3346 |
+
"epoch": 1.36,
|
3347 |
+
"learning_rate": 0.00016503492268405215,
|
3348 |
+
"loss": 0.4982,
|
3349 |
+
"step": 484
|
3350 |
+
},
|
3351 |
+
{
|
3352 |
+
"epoch": 1.36,
|
3353 |
+
"learning_rate": 0.0001645514779281972,
|
3354 |
+
"loss": 0.5982,
|
3355 |
+
"step": 485
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 1.36,
|
3359 |
+
"learning_rate": 0.00016406788053422445,
|
3360 |
+
"loss": 0.3784,
|
3361 |
+
"step": 486
|
3362 |
+
},
|
3363 |
+
{
|
3364 |
+
"epoch": 1.37,
|
3365 |
+
"learning_rate": 0.00016358413557484167,
|
3366 |
+
"loss": 0.4585,
|
3367 |
+
"step": 487
|
3368 |
+
},
|
3369 |
+
{
|
3370 |
+
"epoch": 1.37,
|
3371 |
+
"learning_rate": 0.00016310024812430458,
|
3372 |
+
"loss": 0.5089,
|
3373 |
+
"step": 488
|
3374 |
+
},
|
3375 |
+
{
|
3376 |
+
"epoch": 1.37,
|
3377 |
+
"learning_rate": 0.00016261622325836362,
|
3378 |
+
"loss": 0.338,
|
3379 |
+
"step": 489
|
3380 |
+
},
|
3381 |
+
{
|
3382 |
+
"epoch": 1.38,
|
3383 |
+
"learning_rate": 0.00016213206605421063,
|
3384 |
+
"loss": 0.4797,
|
3385 |
+
"step": 490
|
3386 |
+
},
|
3387 |
+
{
|
3388 |
+
"epoch": 1.38,
|
3389 |
+
"learning_rate": 0.0001616477815904255,
|
3390 |
+
"loss": 0.4304,
|
3391 |
+
"step": 491
|
3392 |
+
},
|
3393 |
+
{
|
3394 |
+
"epoch": 1.38,
|
3395 |
+
"learning_rate": 0.0001611633749469231,
|
3396 |
+
"loss": 0.4831,
|
3397 |
+
"step": 492
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 1.38,
|
3401 |
+
"learning_rate": 0.0001606788512048999,
|
3402 |
+
"loss": 0.3629,
|
3403 |
+
"step": 493
|
3404 |
+
},
|
3405 |
+
{
|
3406 |
+
"epoch": 1.39,
|
3407 |
+
"learning_rate": 0.00016019421544678073,
|
3408 |
+
"loss": 0.4143,
|
3409 |
+
"step": 494
|
3410 |
+
},
|
3411 |
+
{
|
3412 |
+
"epoch": 1.39,
|
3413 |
+
"learning_rate": 0.00015970947275616536,
|
3414 |
+
"loss": 0.3162,
|
3415 |
+
"step": 495
|
3416 |
+
},
|
3417 |
+
{
|
3418 |
+
"epoch": 1.39,
|
3419 |
+
"learning_rate": 0.00015922462821777524,
|
3420 |
+
"loss": 0.4689,
|
3421 |
+
"step": 496
|
3422 |
+
},
|
3423 |
+
{
|
3424 |
+
"epoch": 1.4,
|
3425 |
+
"learning_rate": 0.00015873968691740005,
|
3426 |
+
"loss": 0.3899,
|
3427 |
+
"step": 497
|
3428 |
+
},
|
3429 |
+
{
|
3430 |
+
"epoch": 1.4,
|
3431 |
+
"learning_rate": 0.00015825465394184472,
|
3432 |
+
"loss": 0.4622,
|
3433 |
+
"step": 498
|
3434 |
+
},
|
3435 |
+
{
|
3436 |
+
"epoch": 1.4,
|
3437 |
+
"learning_rate": 0.00015776953437887553,
|
3438 |
+
"loss": 0.5949,
|
3439 |
+
"step": 499
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 1.4,
|
3443 |
+
"learning_rate": 0.00015728433331716724,
|
3444 |
+
"loss": 0.6421,
|
3445 |
+
"step": 500
|
3446 |
+
},
|
3447 |
+
{
|
3448 |
+
"epoch": 1.4,
|
3449 |
+
"eval_loss": 0.5089285373687744,
|
3450 |
+
"eval_runtime": 26.3003,
|
3451 |
+
"eval_samples_per_second": 7.604,
|
3452 |
+
"eval_steps_per_second": 1.901,
|
3453 |
+
"step": 500
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"dharma_eval_accuracy": 0.43468350261904026,
|
3457 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.4444444444444444,
|
3458 |
+
"dharma_eval_accuracy_ARC-Easy": 0.46296296296296297,
|
3459 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
3460 |
+
"dharma_eval_accuracy_MMLU": 0.3333333333333333,
|
3461 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
3462 |
+
"dharma_eval_accuracy_bigbench": 0.5081967213114754,
|
3463 |
+
"dharma_eval_accuracy_openbookqa": 0.2037037037037037,
|
3464 |
+
"dharma_eval_accuracy_truthful_qa": 0.5555555555555556,
|
3465 |
+
"dharma_eval_accuracy_winogrande": 0.46296296296296297,
|
3466 |
+
"dharma_loss": 2.98004837846756,
|
3467 |
+
"epoch": 1.4,
|
3468 |
+
"step": 500
|
3469 |
+
},
|
3470 |
+
{
|
3471 |
+
"epoch": 1.41,
|
3472 |
+
"learning_rate": 0.0001567990558462493,
|
3473 |
+
"loss": 0.3583,
|
3474 |
+
"step": 501
|
3475 |
+
},
|
3476 |
+
{
|
3477 |
+
"epoch": 1.41,
|
3478 |
+
"learning_rate": 0.0001563137070564528,
|
3479 |
+
"loss": 0.6447,
|
3480 |
+
"step": 502
|
3481 |
+
},
|
3482 |
+
{
|
3483 |
+
"epoch": 1.41,
|
3484 |
+
"learning_rate": 0.00015582829203885688,
|
3485 |
+
"loss": 0.3984,
|
3486 |
+
"step": 503
|
3487 |
+
},
|
3488 |
+
{
|
3489 |
+
"epoch": 1.41,
|
3490 |
+
"learning_rate": 0.00015534281588523534,
|
3491 |
+
"loss": 0.3397,
|
3492 |
+
"step": 504
|
3493 |
+
},
|
3494 |
+
{
|
3495 |
+
"epoch": 1.42,
|
3496 |
+
"learning_rate": 0.0001548572836880034,
|
3497 |
+
"loss": 0.6608,
|
3498 |
+
"step": 505
|
3499 |
+
},
|
3500 |
+
{
|
3501 |
+
"epoch": 1.42,
|
3502 |
+
"learning_rate": 0.00015437170054016395,
|
3503 |
+
"loss": 0.5184,
|
3504 |
+
"step": 506
|
3505 |
+
},
|
3506 |
+
{
|
3507 |
+
"epoch": 1.42,
|
3508 |
+
"learning_rate": 0.00015388607153525452,
|
3509 |
+
"loss": 0.5412,
|
3510 |
+
"step": 507
|
3511 |
+
},
|
3512 |
+
{
|
3513 |
+
"epoch": 1.43,
|
3514 |
+
"learning_rate": 0.00015340040176729347,
|
3515 |
+
"loss": 0.6032,
|
3516 |
+
"step": 508
|
3517 |
+
},
|
3518 |
+
{
|
3519 |
+
"epoch": 1.43,
|
3520 |
+
"learning_rate": 0.000152914696330727,
|
3521 |
+
"loss": 0.5783,
|
3522 |
+
"step": 509
|
3523 |
+
},
|
3524 |
+
{
|
3525 |
+
"epoch": 1.43,
|
3526 |
+
"learning_rate": 0.00015242896032037522,
|
3527 |
+
"loss": 0.5915,
|
3528 |
+
"step": 510
|
3529 |
+
},
|
3530 |
+
{
|
3531 |
+
"epoch": 1.43,
|
3532 |
+
"learning_rate": 0.00015194319883137905,
|
3533 |
+
"loss": 0.6996,
|
3534 |
+
"step": 511
|
3535 |
+
},
|
3536 |
+
{
|
3537 |
+
"epoch": 1.44,
|
3538 |
+
"learning_rate": 0.0001514574169591466,
|
3539 |
+
"loss": 0.3408,
|
3540 |
+
"step": 512
|
3541 |
+
},
|
3542 |
+
{
|
3543 |
+
"epoch": 1.44,
|
3544 |
+
"learning_rate": 0.0001509716197992999,
|
3545 |
+
"loss": 0.4851,
|
3546 |
+
"step": 513
|
3547 |
+
},
|
3548 |
+
{
|
3549 |
+
"epoch": 1.44,
|
3550 |
+
"learning_rate": 0.0001504858124476213,
|
3551 |
+
"loss": 0.3962,
|
3552 |
+
"step": 514
|
3553 |
+
},
|
3554 |
+
{
|
3555 |
+
"epoch": 1.45,
|
3556 |
+
"learning_rate": 0.00015,
|
3557 |
+
"loss": 0.5792,
|
3558 |
+
"step": 515
|
3559 |
+
},
|
3560 |
+
{
|
3561 |
+
"epoch": 1.45,
|
3562 |
+
"learning_rate": 0.0001495141875523787,
|
3563 |
+
"loss": 0.4199,
|
3564 |
+
"step": 516
|
3565 |
+
},
|
3566 |
+
{
|
3567 |
+
"epoch": 1.45,
|
3568 |
+
"learning_rate": 0.00014902838020070008,
|
3569 |
+
"loss": 0.2794,
|
3570 |
+
"step": 517
|
3571 |
+
},
|
3572 |
+
{
|
3573 |
+
"epoch": 1.45,
|
3574 |
+
"learning_rate": 0.0001485425830408534,
|
3575 |
+
"loss": 0.4316,
|
3576 |
+
"step": 518
|
3577 |
+
},
|
3578 |
+
{
|
3579 |
+
"epoch": 1.46,
|
3580 |
+
"learning_rate": 0.00014805680116862095,
|
3581 |
+
"loss": 0.4125,
|
3582 |
+
"step": 519
|
3583 |
+
},
|
3584 |
+
{
|
3585 |
+
"epoch": 1.46,
|
3586 |
+
"learning_rate": 0.00014757103967962475,
|
3587 |
+
"loss": 0.4158,
|
3588 |
+
"step": 520
|
3589 |
+
},
|
3590 |
+
{
|
3591 |
+
"epoch": 1.46,
|
3592 |
+
"learning_rate": 0.00014708530366927297,
|
3593 |
+
"loss": 0.3971,
|
3594 |
+
"step": 521
|
3595 |
+
},
|
3596 |
+
{
|
3597 |
+
"epoch": 1.47,
|
3598 |
+
"learning_rate": 0.0001465995982327065,
|
3599 |
+
"loss": 0.508,
|
3600 |
+
"step": 522
|
3601 |
+
},
|
3602 |
+
{
|
3603 |
+
"epoch": 1.47,
|
3604 |
+
"learning_rate": 0.0001461139284647455,
|
3605 |
+
"loss": 0.4481,
|
3606 |
+
"step": 523
|
3607 |
+
},
|
3608 |
+
{
|
3609 |
+
"epoch": 1.47,
|
3610 |
+
"learning_rate": 0.00014562829945983607,
|
3611 |
+
"loss": 0.5737,
|
3612 |
+
"step": 524
|
3613 |
+
},
|
3614 |
+
{
|
3615 |
+
"epoch": 1.47,
|
3616 |
+
"learning_rate": 0.00014514271631199663,
|
3617 |
+
"loss": 0.4853,
|
3618 |
+
"step": 525
|
3619 |
+
},
|
3620 |
+
{
|
3621 |
+
"epoch": 1.47,
|
3622 |
+
"eval_loss": 0.508446455001831,
|
3623 |
+
"eval_runtime": 26.2523,
|
3624 |
+
"eval_samples_per_second": 7.618,
|
3625 |
+
"eval_steps_per_second": 1.905,
|
3626 |
+
"step": 525
|
3627 |
+
},
|
3628 |
+
{
|
3629 |
+
"dharma_eval_accuracy": 0.4208141950724767,
|
3630 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.4444444444444444,
|
3631 |
+
"dharma_eval_accuracy_ARC-Easy": 0.46296296296296297,
|
3632 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
3633 |
+
"dharma_eval_accuracy_MMLU": 0.35185185185185186,
|
3634 |
+
"dharma_eval_accuracy_agieval": 0.2542372881355932,
|
3635 |
+
"dharma_eval_accuracy_bigbench": 0.45901639344262296,
|
3636 |
+
"dharma_eval_accuracy_openbookqa": 0.16666666666666666,
|
3637 |
+
"dharma_eval_accuracy_truthful_qa": 0.5,
|
3638 |
+
"dharma_eval_accuracy_winogrande": 0.4444444444444444,
|
3639 |
+
"dharma_loss": 2.9239073081016542,
|
3640 |
+
"epoch": 1.47,
|
3641 |
+
"step": 525
|
3642 |
+
},
|
3643 |
+
{
|
3644 |
+
"epoch": 1.48,
|
3645 |
+
"learning_rate": 0.00014465718411476463,
|
3646 |
+
"loss": 0.3469,
|
3647 |
+
"step": 526
|
3648 |
+
},
|
3649 |
+
{
|
3650 |
+
"epoch": 1.48,
|
3651 |
+
"learning_rate": 0.00014417170796114312,
|
3652 |
+
"loss": 0.3511,
|
3653 |
+
"step": 527
|
3654 |
+
},
|
3655 |
+
{
|
3656 |
+
"epoch": 1.48,
|
3657 |
+
"learning_rate": 0.0001436862929435472,
|
3658 |
+
"loss": 0.3,
|
3659 |
+
"step": 528
|
3660 |
+
},
|
3661 |
+
{
|
3662 |
+
"epoch": 1.48,
|
3663 |
+
"learning_rate": 0.00014320094415375072,
|
3664 |
+
"loss": 0.4873,
|
3665 |
+
"step": 529
|
3666 |
+
},
|
3667 |
+
{
|
3668 |
+
"epoch": 1.49,
|
3669 |
+
"learning_rate": 0.0001427156666828328,
|
3670 |
+
"loss": 0.3733,
|
3671 |
+
"step": 530
|
3672 |
+
},
|
3673 |
+
{
|
3674 |
+
"epoch": 1.49,
|
3675 |
+
"learning_rate": 0.00014223046562112442,
|
3676 |
+
"loss": 0.5614,
|
3677 |
+
"step": 531
|
3678 |
+
},
|
3679 |
+
{
|
3680 |
+
"epoch": 1.49,
|
3681 |
+
"learning_rate": 0.00014174534605815525,
|
3682 |
+
"loss": 0.5095,
|
3683 |
+
"step": 532
|
3684 |
+
},
|
3685 |
+
{
|
3686 |
+
"epoch": 1.5,
|
3687 |
+
"learning_rate": 0.00014126031308259992,
|
3688 |
+
"loss": 0.5133,
|
3689 |
+
"step": 533
|
3690 |
+
},
|
3691 |
+
{
|
3692 |
+
"epoch": 1.5,
|
3693 |
+
"learning_rate": 0.0001407753717822248,
|
3694 |
+
"loss": 0.6072,
|
3695 |
+
"step": 534
|
3696 |
+
},
|
3697 |
+
{
|
3698 |
+
"epoch": 1.5,
|
3699 |
+
"learning_rate": 0.00014029052724383464,
|
3700 |
+
"loss": 0.4428,
|
3701 |
+
"step": 535
|
3702 |
+
},
|
3703 |
+
{
|
3704 |
+
"epoch": 1.5,
|
3705 |
+
"learning_rate": 0.00013980578455321922,
|
3706 |
+
"loss": 0.4763,
|
3707 |
+
"step": 536
|
3708 |
+
},
|
3709 |
+
{
|
3710 |
+
"epoch": 1.51,
|
3711 |
+
"learning_rate": 0.00013932114879510005,
|
3712 |
+
"loss": 0.4025,
|
3713 |
+
"step": 537
|
3714 |
+
},
|
3715 |
+
{
|
3716 |
+
"epoch": 1.51,
|
3717 |
+
"learning_rate": 0.0001388366250530769,
|
3718 |
+
"loss": 0.5766,
|
3719 |
+
"step": 538
|
3720 |
+
},
|
3721 |
+
{
|
3722 |
+
"epoch": 1.51,
|
3723 |
+
"learning_rate": 0.0001383522184095745,
|
3724 |
+
"loss": 0.6511,
|
3725 |
+
"step": 539
|
3726 |
+
},
|
3727 |
+
{
|
3728 |
+
"epoch": 1.52,
|
3729 |
+
"learning_rate": 0.00013786793394578937,
|
3730 |
+
"loss": 0.481,
|
3731 |
+
"step": 540
|
3732 |
+
},
|
3733 |
+
{
|
3734 |
+
"epoch": 1.52,
|
3735 |
+
"learning_rate": 0.00013738377674163635,
|
3736 |
+
"loss": 0.4244,
|
3737 |
+
"step": 541
|
3738 |
+
},
|
3739 |
+
{
|
3740 |
+
"epoch": 1.52,
|
3741 |
+
"learning_rate": 0.0001368997518756954,
|
3742 |
+
"loss": 0.3272,
|
3743 |
+
"step": 542
|
3744 |
+
},
|
3745 |
+
{
|
3746 |
+
"epoch": 1.52,
|
3747 |
+
"learning_rate": 0.00013641586442515833,
|
3748 |
+
"loss": 0.3597,
|
3749 |
+
"step": 543
|
3750 |
+
},
|
3751 |
+
{
|
3752 |
+
"epoch": 1.53,
|
3753 |
+
"learning_rate": 0.00013593211946577555,
|
3754 |
+
"loss": 0.4322,
|
3755 |
+
"step": 544
|
3756 |
+
},
|
3757 |
+
{
|
3758 |
+
"epoch": 1.53,
|
3759 |
+
"learning_rate": 0.0001354485220718028,
|
3760 |
+
"loss": 0.4576,
|
3761 |
+
"step": 545
|
3762 |
+
},
|
3763 |
+
{
|
3764 |
+
"epoch": 1.53,
|
3765 |
+
"learning_rate": 0.00013496507731594783,
|
3766 |
+
"loss": 0.5028,
|
3767 |
+
"step": 546
|
3768 |
+
},
|
3769 |
+
{
|
3770 |
+
"epoch": 1.54,
|
3771 |
+
"learning_rate": 0.00013448179026931745,
|
3772 |
+
"loss": 0.5469,
|
3773 |
+
"step": 547
|
3774 |
+
},
|
3775 |
+
{
|
3776 |
+
"epoch": 1.54,
|
3777 |
+
"learning_rate": 0.00013399866600136403,
|
3778 |
+
"loss": 0.4966,
|
3779 |
+
"step": 548
|
3780 |
+
},
|
3781 |
+
{
|
3782 |
+
"epoch": 1.54,
|
3783 |
+
"learning_rate": 0.00013351570957983257,
|
3784 |
+
"loss": 0.5205,
|
3785 |
+
"step": 549
|
3786 |
+
},
|
3787 |
+
{
|
3788 |
+
"epoch": 1.54,
|
3789 |
+
"learning_rate": 0.00013303292607070737,
|
3790 |
+
"loss": 0.2469,
|
3791 |
+
"step": 550
|
3792 |
+
},
|
3793 |
+
{
|
3794 |
+
"epoch": 1.54,
|
3795 |
+
"eval_loss": 0.5087947249412537,
|
3796 |
+
"eval_runtime": 26.3254,
|
3797 |
+
"eval_samples_per_second": 7.597,
|
3798 |
+
"eval_steps_per_second": 1.899,
|
3799 |
+
"step": 550
|
3800 |
+
},
|
3801 |
+
{
|
3802 |
+
"dharma_eval_accuracy": 0.4146413555663039,
|
3803 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.4444444444444444,
|
3804 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5185185185185185,
|
3805 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
3806 |
+
"dharma_eval_accuracy_MMLU": 0.3333333333333333,
|
3807 |
+
"dharma_eval_accuracy_agieval": 0.2542372881355932,
|
3808 |
+
"dharma_eval_accuracy_bigbench": 0.45901639344262296,
|
3809 |
+
"dharma_eval_accuracy_openbookqa": 0.12962962962962962,
|
3810 |
+
"dharma_eval_accuracy_truthful_qa": 0.42592592592592593,
|
3811 |
+
"dharma_eval_accuracy_winogrande": 0.46296296296296297,
|
3812 |
+
"dharma_loss": 3.0210403323173525,
|
3813 |
+
"epoch": 1.54,
|
3814 |
+
"step": 550
|
3815 |
+
},
|
3816 |
+
{
|
3817 |
+
"epoch": 1.55,
|
3818 |
+
"learning_rate": 0.000132550320538159,
|
3819 |
+
"loss": 0.5321,
|
3820 |
+
"step": 551
|
3821 |
+
},
|
3822 |
+
{
|
3823 |
+
"epoch": 1.55,
|
3824 |
+
"learning_rate": 0.00013206789804449116,
|
3825 |
+
"loss": 0.3957,
|
3826 |
+
"step": 552
|
3827 |
+
},
|
3828 |
+
{
|
3829 |
+
"epoch": 1.55,
|
3830 |
+
"learning_rate": 0.0001315856636500875,
|
3831 |
+
"loss": 0.5538,
|
3832 |
+
"step": 553
|
3833 |
+
},
|
3834 |
+
{
|
3835 |
+
"epoch": 1.56,
|
3836 |
+
"learning_rate": 0.00013110362241335865,
|
3837 |
+
"loss": 0.5354,
|
3838 |
+
"step": 554
|
3839 |
+
},
|
3840 |
+
{
|
3841 |
+
"epoch": 1.56,
|
3842 |
+
"learning_rate": 0.00013062177939068907,
|
3843 |
+
"loss": 0.57,
|
3844 |
+
"step": 555
|
3845 |
+
},
|
3846 |
+
{
|
3847 |
+
"epoch": 1.56,
|
3848 |
+
"learning_rate": 0.00013014013963638408,
|
3849 |
+
"loss": 0.3717,
|
3850 |
+
"step": 556
|
3851 |
+
},
|
3852 |
+
{
|
3853 |
+
"epoch": 1.56,
|
3854 |
+
"learning_rate": 0.0001296587082026167,
|
3855 |
+
"loss": 0.3922,
|
3856 |
+
"step": 557
|
3857 |
+
},
|
3858 |
+
{
|
3859 |
+
"epoch": 1.57,
|
3860 |
+
"learning_rate": 0.000129177490139375,
|
3861 |
+
"loss": 0.3959,
|
3862 |
+
"step": 558
|
3863 |
+
},
|
3864 |
+
{
|
3865 |
+
"epoch": 1.57,
|
3866 |
+
"learning_rate": 0.0001286964904944087,
|
3867 |
+
"loss": 0.4779,
|
3868 |
+
"step": 559
|
3869 |
+
},
|
3870 |
+
{
|
3871 |
+
"epoch": 1.57,
|
3872 |
+
"learning_rate": 0.00012821571431317647,
|
3873 |
+
"loss": 0.4544,
|
3874 |
+
"step": 560
|
3875 |
+
},
|
3876 |
+
{
|
3877 |
+
"epoch": 1.57,
|
3878 |
+
"learning_rate": 0.0001277351666387929,
|
3879 |
+
"loss": 0.3896,
|
3880 |
+
"step": 561
|
3881 |
+
},
|
3882 |
+
{
|
3883 |
+
"epoch": 1.58,
|
3884 |
+
"learning_rate": 0.0001272548525119758,
|
3885 |
+
"loss": 0.3762,
|
3886 |
+
"step": 562
|
3887 |
+
},
|
3888 |
+
{
|
3889 |
+
"epoch": 1.58,
|
3890 |
+
"learning_rate": 0.000126774776970993,
|
3891 |
+
"loss": 0.3926,
|
3892 |
+
"step": 563
|
3893 |
+
},
|
3894 |
+
{
|
3895 |
+
"epoch": 1.58,
|
3896 |
+
"learning_rate": 0.00012629494505160982,
|
3897 |
+
"loss": 0.5463,
|
3898 |
+
"step": 564
|
3899 |
+
},
|
3900 |
+
{
|
3901 |
+
"epoch": 1.59,
|
3902 |
+
"learning_rate": 0.00012581536178703603,
|
3903 |
+
"loss": 0.2925,
|
3904 |
+
"step": 565
|
3905 |
+
},
|
3906 |
+
{
|
3907 |
+
"epoch": 1.59,
|
3908 |
+
"learning_rate": 0.0001253360322078731,
|
3909 |
+
"loss": 0.5089,
|
3910 |
+
"step": 566
|
3911 |
+
},
|
3912 |
+
{
|
3913 |
+
"epoch": 1.59,
|
3914 |
+
"learning_rate": 0.00012485696134206147,
|
3915 |
+
"loss": 0.4544,
|
3916 |
+
"step": 567
|
3917 |
+
},
|
3918 |
+
{
|
3919 |
+
"epoch": 1.59,
|
3920 |
+
"learning_rate": 0.0001243781542148279,
|
3921 |
+
"loss": 0.4922,
|
3922 |
+
"step": 568
|
3923 |
+
},
|
3924 |
+
{
|
3925 |
+
"epoch": 1.6,
|
3926 |
+
"learning_rate": 0.00012389961584863263,
|
3927 |
+
"loss": 0.4084,
|
3928 |
+
"step": 569
|
3929 |
+
},
|
3930 |
+
{
|
3931 |
+
"epoch": 1.6,
|
3932 |
+
"learning_rate": 0.0001234213512631166,
|
3933 |
+
"loss": 0.5996,
|
3934 |
+
"step": 570
|
3935 |
+
},
|
3936 |
+
{
|
3937 |
+
"epoch": 1.6,
|
3938 |
+
"learning_rate": 0.000122943365475049,
|
3939 |
+
"loss": 0.3808,
|
3940 |
+
"step": 571
|
3941 |
+
},
|
3942 |
+
{
|
3943 |
+
"epoch": 1.61,
|
3944 |
+
"learning_rate": 0.0001224656634982746,
|
3945 |
+
"loss": 0.5916,
|
3946 |
+
"step": 572
|
3947 |
+
},
|
3948 |
+
{
|
3949 |
+
"epoch": 1.61,
|
3950 |
+
"learning_rate": 0.00012198825034366104,
|
3951 |
+
"loss": 0.3169,
|
3952 |
+
"step": 573
|
3953 |
+
},
|
3954 |
+
{
|
3955 |
+
"epoch": 1.61,
|
3956 |
+
"learning_rate": 0.00012151113101904645,
|
3957 |
+
"loss": 0.4497,
|
3958 |
+
"step": 574
|
3959 |
+
},
|
3960 |
+
{
|
3961 |
+
"epoch": 1.61,
|
3962 |
+
"learning_rate": 0.0001210343105291868,
|
3963 |
+
"loss": 0.4914,
|
3964 |
+
"step": 575
|
3965 |
+
},
|
3966 |
+
{
|
3967 |
+
"epoch": 1.61,
|
3968 |
+
"eval_loss": 0.5054534077644348,
|
3969 |
+
"eval_runtime": 26.2667,
|
3970 |
+
"eval_samples_per_second": 7.614,
|
3971 |
+
"eval_steps_per_second": 1.904,
|
3972 |
+
"step": 575
|
3973 |
+
},
|
3974 |
+
{
|
3975 |
+
"dharma_eval_accuracy": 0.4225739431506465,
|
3976 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.4074074074074074,
|
3977 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5,
|
3978 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
3979 |
+
"dharma_eval_accuracy_MMLU": 0.3333333333333333,
|
3980 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
3981 |
+
"dharma_eval_accuracy_bigbench": 0.4918032786885246,
|
3982 |
+
"dharma_eval_accuracy_openbookqa": 0.16666666666666666,
|
3983 |
+
"dharma_eval_accuracy_truthful_qa": 0.5,
|
3984 |
+
"dharma_eval_accuracy_winogrande": 0.46296296296296297,
|
3985 |
+
"dharma_loss": 2.9983138756752012,
|
3986 |
+
"epoch": 1.61,
|
3987 |
+
"step": 575
|
3988 |
+
},
|
3989 |
+
{
|
3990 |
+
"epoch": 1.62,
|
3991 |
+
"learning_rate": 0.00012055779387570338,
|
3992 |
+
"loss": 0.4089,
|
3993 |
+
"step": 576
|
3994 |
+
},
|
3995 |
+
{
|
3996 |
+
"epoch": 1.62,
|
3997 |
+
"learning_rate": 0.00012008158605703037,
|
3998 |
+
"loss": 0.4753,
|
3999 |
+
"step": 577
|
4000 |
+
},
|
4001 |
+
{
|
4002 |
+
"epoch": 1.62,
|
4003 |
+
"learning_rate": 0.00011960569206836249,
|
4004 |
+
"loss": 0.5209,
|
4005 |
+
"step": 578
|
4006 |
+
},
|
4007 |
+
{
|
4008 |
+
"epoch": 1.63,
|
4009 |
+
"learning_rate": 0.00011913011690160246,
|
4010 |
+
"loss": 0.5442,
|
4011 |
+
"step": 579
|
4012 |
+
},
|
4013 |
+
{
|
4014 |
+
"epoch": 1.63,
|
4015 |
+
"learning_rate": 0.00011865486554530873,
|
4016 |
+
"loss": 0.3312,
|
4017 |
+
"step": 580
|
4018 |
+
},
|
4019 |
+
{
|
4020 |
+
"epoch": 1.63,
|
4021 |
+
"learning_rate": 0.00011817994298464319,
|
4022 |
+
"loss": 0.4079,
|
4023 |
+
"step": 581
|
4024 |
+
},
|
4025 |
+
{
|
4026 |
+
"epoch": 1.63,
|
4027 |
+
"learning_rate": 0.00011770535420131876,
|
4028 |
+
"loss": 0.4949,
|
4029 |
+
"step": 582
|
4030 |
+
},
|
4031 |
+
{
|
4032 |
+
"epoch": 1.64,
|
4033 |
+
"learning_rate": 0.00011723110417354719,
|
4034 |
+
"loss": 0.5599,
|
4035 |
+
"step": 583
|
4036 |
+
},
|
4037 |
+
{
|
4038 |
+
"epoch": 1.64,
|
4039 |
+
"learning_rate": 0.00011675719787598688,
|
4040 |
+
"loss": 0.4379,
|
4041 |
+
"step": 584
|
4042 |
+
},
|
4043 |
+
{
|
4044 |
+
"epoch": 1.64,
|
4045 |
+
"learning_rate": 0.00011628364027969062,
|
4046 |
+
"loss": 0.4673,
|
4047 |
+
"step": 585
|
4048 |
+
},
|
4049 |
+
{
|
4050 |
+
"epoch": 1.64,
|
4051 |
+
"learning_rate": 0.00011581043635205352,
|
4052 |
+
"loss": 0.3881,
|
4053 |
+
"step": 586
|
4054 |
+
},
|
4055 |
+
{
|
4056 |
+
"epoch": 1.65,
|
4057 |
+
"learning_rate": 0.00011533759105676082,
|
4058 |
+
"loss": 0.6034,
|
4059 |
+
"step": 587
|
4060 |
+
},
|
4061 |
+
{
|
4062 |
+
"epoch": 1.65,
|
4063 |
+
"learning_rate": 0.000114865109353736,
|
4064 |
+
"loss": 0.4709,
|
4065 |
+
"step": 588
|
4066 |
+
},
|
4067 |
+
{
|
4068 |
+
"epoch": 1.65,
|
4069 |
+
"learning_rate": 0.00011439299619908854,
|
4070 |
+
"loss": 0.5639,
|
4071 |
+
"step": 589
|
4072 |
+
},
|
4073 |
+
{
|
4074 |
+
"epoch": 1.66,
|
4075 |
+
"learning_rate": 0.00011392125654506198,
|
4076 |
+
"loss": 0.4515,
|
4077 |
+
"step": 590
|
4078 |
+
},
|
4079 |
+
{
|
4080 |
+
"epoch": 1.66,
|
4081 |
+
"learning_rate": 0.00011344989533998204,
|
4082 |
+
"loss": 0.4912,
|
4083 |
+
"step": 591
|
4084 |
+
},
|
4085 |
+
{
|
4086 |
+
"epoch": 1.66,
|
4087 |
+
"learning_rate": 0.00011297891752820484,
|
4088 |
+
"loss": 0.4824,
|
4089 |
+
"step": 592
|
4090 |
+
},
|
4091 |
+
{
|
4092 |
+
"epoch": 1.66,
|
4093 |
+
"learning_rate": 0.0001125083280500647,
|
4094 |
+
"loss": 0.6789,
|
4095 |
+
"step": 593
|
4096 |
+
},
|
4097 |
+
{
|
4098 |
+
"epoch": 1.67,
|
4099 |
+
"learning_rate": 0.00011203813184182255,
|
4100 |
+
"loss": 0.3983,
|
4101 |
+
"step": 594
|
4102 |
+
},
|
4103 |
+
{
|
4104 |
+
"epoch": 1.67,
|
4105 |
+
"learning_rate": 0.00011156833383561413,
|
4106 |
+
"loss": 0.5017,
|
4107 |
+
"step": 595
|
4108 |
+
},
|
4109 |
+
{
|
4110 |
+
"epoch": 1.67,
|
4111 |
+
"learning_rate": 0.00011109893895939823,
|
4112 |
+
"loss": 0.3995,
|
4113 |
+
"step": 596
|
4114 |
+
},
|
4115 |
+
{
|
4116 |
+
"epoch": 1.68,
|
4117 |
+
"learning_rate": 0.00011062995213690494,
|
4118 |
+
"loss": 0.6159,
|
4119 |
+
"step": 597
|
4120 |
+
},
|
4121 |
+
{
|
4122 |
+
"epoch": 1.68,
|
4123 |
+
"learning_rate": 0.00011016137828758422,
|
4124 |
+
"loss": 0.5068,
|
4125 |
+
"step": 598
|
4126 |
+
},
|
4127 |
+
{
|
4128 |
+
"epoch": 1.68,
|
4129 |
+
"learning_rate": 0.0001096932223265539,
|
4130 |
+
"loss": 0.6377,
|
4131 |
+
"step": 599
|
4132 |
+
},
|
4133 |
+
{
|
4134 |
+
"epoch": 1.68,
|
4135 |
+
"learning_rate": 0.00010922548916454855,
|
4136 |
+
"loss": 0.527,
|
4137 |
+
"step": 600
|
4138 |
+
},
|
4139 |
+
{
|
4140 |
+
"epoch": 1.68,
|
4141 |
+
"eval_loss": 0.5055681467056274,
|
4142 |
+
"eval_runtime": 26.3047,
|
4143 |
+
"eval_samples_per_second": 7.603,
|
4144 |
+
"eval_steps_per_second": 1.901,
|
4145 |
+
"step": 600
|
4146 |
+
},
|
4147 |
+
{
|
4148 |
+
"dharma_eval_accuracy": 0.41687334273237764,
|
4149 |
+
"dharma_eval_accuracy_ARC-Challenge": 0.42592592592592593,
|
4150 |
+
"dharma_eval_accuracy_ARC-Easy": 0.5,
|
4151 |
+
"dharma_eval_accuracy_BoolQ": 0.7037037037037037,
|
4152 |
+
"dharma_eval_accuracy_MMLU": 0.37037037037037035,
|
4153 |
+
"dharma_eval_accuracy_agieval": 0.23728813559322035,
|
4154 |
+
"dharma_eval_accuracy_bigbench": 0.45901639344262296,
|
4155 |
+
"dharma_eval_accuracy_openbookqa": 0.12962962962962962,
|
4156 |
+
"dharma_eval_accuracy_truthful_qa": 0.46296296296296297,
|
4157 |
+
"dharma_eval_accuracy_winogrande": 0.46296296296296297,
|
4158 |
+
"dharma_loss": 2.924492097854614,
|
4159 |
+
"epoch": 1.68,
|
4160 |
+
"step": 600
|
4161 |
+
}
|
4162 |
+
],
|
4163 |
+
"max_steps": 1000,
|
4164 |
+
"num_train_epochs": 3,
|
4165 |
+
"total_flos": 1.9307426648459674e+17,
|
4166 |
+
"trial_name": null,
|
4167 |
+
"trial_params": null
|
4168 |
+
}
|
checkpoint-600/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8d82b859a9cd8d6d889fcf83059a0117f69472b64660a7ed0075051324482a44
|
3 |
+
size 5947
|