Upload model
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- runs/Apr26_19-16-09_jpbot-001-18.jupiter.internal/events.out.tfevents.1745687818.jpbot-001-18.jupiter.internal.2505874.0 +3 -0
- special_tokens_map.json +31 -0
- start_end.json +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +71 -0
- trainer_state.json +532 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: b2_code_fasttext_pos_codeforces_neg_codereview_1k
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# b2_code_fasttext_pos_codeforces_neg_codereview_1k
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/b2_code_fasttext_pos_codeforces_neg_codereview_1k dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- gradient_accumulation_steps: 6
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- total_train_batch_size: 96
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- total_eval_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 7.0
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### Training results
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.6.0a0+ecf3bae40a.nv25.01
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- Datasets 3.5.0
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- Tokenizers 0.20.3
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added_tokens.json
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all_results.json
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{
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"total_flos": 1.9574749296748134e+17,
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}
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config.json
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{
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"_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--Qwen2.5-7B-Instruct/snapshots/a09a35458c702b33eeacc393d103063234e8bc28",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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merges.txt
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The diff for this file is too large to render.
See raw diff
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1 |
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|
2 |
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|
3 |
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|
4 |
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5 |
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10 |
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11 |
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12 |
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13 |
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14 |
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19 |
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20 |
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163 |
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164 |
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166 |
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172 |
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179 |
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180 |
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181 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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188 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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|
196 |
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197 |
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|
198 |
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|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
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|
201 |
+
"errors": "replace",
|
202 |
+
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|
203 |
+
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|
204 |
+
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|
205 |
+
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|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.666666666666667,
|
3 |
+
"total_flos": 1.9574749296748134e+17,
|
4 |
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"train_loss": 0.6460428876536233,
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|
6 |
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"train_samples_per_second": 2.406,
|
7 |
+
"train_steps_per_second": 0.024
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,71 @@
|
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|
|
|
|
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|
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|
|
|
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|
|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 1, "total_steps": 70, "loss": 1.0361, "lr": 2.8571428571428573e-06, "epoch": 0.09523809523809523, "percentage": 1.43, "elapsed_time": "0:00:46", "remaining_time": "0:53:28"}
|
2 |
+
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|
3 |
+
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|
4 |
+
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|
5 |
+
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|
6 |
+
{"current_steps": 6, "total_steps": 70, "loss": 0.9429, "lr": 1.7142857142857142e-05, "epoch": 0.5714285714285714, "percentage": 8.57, "elapsed_time": "0:04:02", "remaining_time": "0:43:03"}
|
7 |
+
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|
8 |
+
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|
9 |
+
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|
10 |
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|
11 |
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|
12 |
+
{"current_steps": 12, "total_steps": 70, "loss": 0.7806, "lr": 1.969077286229078e-05, "epoch": 1.1428571428571428, "percentage": 17.14, "elapsed_time": "0:08:31", "remaining_time": "0:41:12"}
|
13 |
+
{"current_steps": 13, "total_steps": 70, "loss": 0.7465, "lr": 1.955572805786141e-05, "epoch": 1.2380952380952381, "percentage": 18.57, "elapsed_time": "0:09:06", "remaining_time": "0:39:56"}
|
14 |
+
{"current_steps": 14, "total_steps": 70, "loss": 0.741, "lr": 1.9396926207859085e-05, "epoch": 1.3333333333333333, "percentage": 20.0, "elapsed_time": "0:09:44", "remaining_time": "0:38:59"}
|
15 |
+
{"current_steps": 15, "total_steps": 70, "loss": 0.7513, "lr": 1.921476211870408e-05, "epoch": 1.4285714285714286, "percentage": 21.43, "elapsed_time": "0:10:23", "remaining_time": "0:38:05"}
|
16 |
+
{"current_steps": 16, "total_steps": 70, "loss": 0.6712, "lr": 1.900968867902419e-05, "epoch": 1.5238095238095237, "percentage": 22.86, "elapsed_time": "0:10:59", "remaining_time": "0:37:04"}
|
17 |
+
{"current_steps": 17, "total_steps": 70, "loss": 0.7215, "lr": 1.8782215733702286e-05, "epoch": 1.619047619047619, "percentage": 24.29, "elapsed_time": "0:11:34", "remaining_time": "0:36:05"}
|
18 |
+
{"current_steps": 18, "total_steps": 70, "loss": 0.7001, "lr": 1.8532908816321557e-05, "epoch": 1.7142857142857144, "percentage": 25.71, "elapsed_time": "0:12:11", "remaining_time": "0:35:14"}
|
19 |
+
{"current_steps": 19, "total_steps": 70, "loss": 0.7002, "lr": 1.826238774315995e-05, "epoch": 1.8095238095238095, "percentage": 27.14, "elapsed_time": "0:12:50", "remaining_time": "0:34:27"}
|
20 |
+
{"current_steps": 20, "total_steps": 70, "loss": 0.7007, "lr": 1.7971325072229227e-05, "epoch": 1.9047619047619047, "percentage": 28.57, "elapsed_time": "0:13:29", "remaining_time": "0:33:42"}
|
21 |
+
{"current_steps": 21, "total_steps": 70, "loss": 1.0359, "lr": 1.766044443118978e-05, "epoch": 2.0, "percentage": 30.0, "elapsed_time": "0:14:06", "remaining_time": "0:32:56"}
|
22 |
+
{"current_steps": 22, "total_steps": 70, "loss": 0.6654, "lr": 1.7330518718298263e-05, "epoch": 2.0952380952380953, "percentage": 31.43, "elapsed_time": "0:15:46", "remaining_time": "0:34:24"}
|
23 |
+
{"current_steps": 23, "total_steps": 70, "loss": 0.641, "lr": 1.698236818086073e-05, "epoch": 2.1904761904761907, "percentage": 32.86, "elapsed_time": "0:16:24", "remaining_time": "0:33:32"}
|
24 |
+
{"current_steps": 24, "total_steps": 70, "loss": 0.6145, "lr": 1.6616858375968596e-05, "epoch": 2.2857142857142856, "percentage": 34.29, "elapsed_time": "0:17:01", "remaining_time": "0:32:38"}
|
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