Model save
Browse files- README.md +117 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +2057 -0
README.md
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| 1 |
+
---
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| 2 |
+
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Llama-31-8B_task-1_180-samples_config-4_full
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results: []
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---
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| 13 |
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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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| 17 |
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# Llama-31-8B_task-1_180-samples_config-4_full
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.9228
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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: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 150
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 55 |
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|:-------------:|:-------:|:----:|:---------------:|
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| 56 |
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| 2.4745 | 0.9412 | 8 | 2.4335 |
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| 57 |
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| 2.4286 | 2.0 | 17 | 2.4114 |
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| 58 |
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| 2.419 | 2.9412 | 25 | 2.3814 |
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| 59 |
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| 2.3475 | 4.0 | 34 | 2.3262 |
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| 2.3147 | 4.9412 | 42 | 2.2541 |
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| 2.2214 | 6.0 | 51 | 2.1716 |
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| 2.1097 | 6.9412 | 59 | 2.0745 |
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| 63 |
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| 1.9617 | 8.0 | 68 | 1.9479 |
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| 64 |
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| 1.908 | 8.9412 | 76 | 1.8375 |
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| 1.7669 | 10.0 | 85 | 1.6953 |
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| 1.6325 | 10.9412 | 93 | 1.5461 |
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| 1.3201 | 12.0 | 102 | 1.3739 |
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| 1.2477 | 12.9412 | 110 | 1.2331 |
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| 1.163 | 14.0 | 119 | 1.1330 |
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| 1.0579 | 14.9412 | 127 | 1.0861 |
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| 1.0655 | 16.0 | 136 | 1.0611 |
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| 0.9976 | 16.9412 | 144 | 1.0455 |
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| 1.0285 | 18.0 | 153 | 1.0318 |
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| 0.998 | 18.9412 | 161 | 1.0205 |
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| 1.0038 | 20.0 | 170 | 1.0102 |
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| 0.9907 | 20.9412 | 178 | 1.0020 |
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| 0.9673 | 22.0 | 187 | 0.9929 |
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| 0.95 | 22.9412 | 195 | 0.9870 |
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| 0.9467 | 24.0 | 204 | 0.9801 |
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| 0.9423 | 24.9412 | 212 | 0.9737 |
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| 0.937 | 26.0 | 221 | 0.9675 |
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| 0.9035 | 26.9412 | 229 | 0.9626 |
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| 0.9074 | 28.0 | 238 | 0.9582 |
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| 0.8944 | 28.9412 | 246 | 0.9534 |
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| 0.8785 | 30.0 | 255 | 0.9493 |
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| 0.8797 | 30.9412 | 263 | 0.9451 |
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| 0.8764 | 32.0 | 272 | 0.9422 |
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| 0.8903 | 32.9412 | 280 | 0.9389 |
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| 0.8835 | 34.0 | 289 | 0.9377 |
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| 0.8452 | 34.9412 | 297 | 0.9332 |
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| 0.8777 | 36.0 | 306 | 0.9272 |
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| 0.8101 | 36.9412 | 314 | 0.9257 |
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| 0.8526 | 38.0 | 323 | 0.9229 |
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| 0.8228 | 38.9412 | 331 | 0.9197 |
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| 0.8066 | 40.0 | 340 | 0.9176 |
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| 0.7701 | 40.9412 | 348 | 0.9199 |
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| 0.8132 | 42.0 | 357 | 0.9162 |
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| 0.7804 | 42.9412 | 365 | 0.9104 |
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| 0.7508 | 44.0 | 374 | 0.9083 |
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| 0.7192 | 44.9412 | 382 | 0.9052 |
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| 0.7633 | 46.0 | 391 | 0.9048 |
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| 0.7534 | 46.9412 | 399 | 0.9052 |
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| 0.666 | 48.0 | 408 | 0.9151 |
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| 0.7298 | 48.9412 | 416 | 0.9143 |
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| 0.6815 | 50.0 | 425 | 0.9157 |
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| 0.6845 | 50.9412 | 433 | 0.9170 |
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| 0.6524 | 52.0 | 442 | 0.9216 |
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| 0.6397 | 52.9412 | 450 | 0.9228 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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| 116 |
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- Datasets 2.20.0
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| 117 |
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- Tokenizers 0.19.1
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adapter_model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:226ca2d58af1e3e6c8926ddc3c47ebc0befbe10fe909bbaee1c4264be2674ec3
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size 167832240
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all_results.json
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{
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"epoch": 52.94117647058823,
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"total_flos": 1.1473460706410496e+17,
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"train_loss": 1.1512780372301739,
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"train_runtime": 8506.7232,
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"train_samples": 136,
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"train_samples_per_second": 2.398,
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"train_steps_per_second": 0.141
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}
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train_results.json
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{
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"epoch": 52.94117647058823,
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| 3 |
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"total_flos": 1.1473460706410496e+17,
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| 4 |
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"train_loss": 1.1512780372301739,
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| 5 |
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"train_runtime": 8506.7232,
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| 6 |
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"train_samples": 136,
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| 7 |
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"train_samples_per_second": 2.398,
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| 8 |
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"train_steps_per_second": 0.141
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}
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trainer_state.json
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