Farouk commited on
Commit
d4d8edb
·
1 Parent(s): 7226ac6

Training in progress, step 200

Browse files
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
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8b032b3810215b9d28ca2afcd2782384c578549804194aa90506394ecf2ab91
3
+ size 319977229
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<pad>": 32000
3
+ }
checkpoint-200/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-200/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-200/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8b032b3810215b9d28ca2afcd2782384c578549804194aa90506394ecf2ab91
3
+ size 319977229
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<pad>": 32000
3
+ }
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfce01fde7672e3c085bb1b4adbfb52fe63a39f81037410fe771a9028175dce7
3
+ size 1279539525
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d93c625376e5fc33031fb564b63ea6141dee48d9689edf2b6495666b1a3cefc
3
+ size 14511
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96b7b9232fba96407a35a6869770cdac900992029aec47e58686fed283f85443
3
+ size 627
checkpoint-200/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-200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-200/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-200/trainer_state.json ADDED
@@ -0,0 +1,1400 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.5244021415710449,
3
+ "best_model_checkpoint": "./output_v2/7b_cluster00_Nous-Hermes-llama-2-7b_codellama_blob_1/checkpoint-200",
4
+ "epoch": 0.5614035087719298,
5
+ "global_step": 200,
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
+ "max_steps": 1000,
1396
+ "num_train_epochs": 3,
1397
+ "total_flos": 6.277915233887846e+16,
1398
+ "trial_name": null,
1399
+ "trial_params": null
1400
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d82b859a9cd8d6d889fcf83059a0117f69472b64660a7ed0075051324482a44
3
+ size 5947
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
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
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
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d82b859a9cd8d6d889fcf83059a0117f69472b64660a7ed0075051324482a44
3
+ size 5947