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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit |
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model-index: |
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- name: llama3-2M-MedEV |
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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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# llama3-2M-MedEV |
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This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co./unsloth/llama-3-8b-Instruct-bnb-4bit) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4249 |
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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: 0.0002 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 3407 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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_steps: 5 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.534 | 0.1200 | 320 | 1.4902 | |
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| 1.3171 | 0.2399 | 640 | 1.4705 | |
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| 1.29 | 0.3599 | 960 | 1.4644 | |
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| 1.2699 | 0.4798 | 1280 | 1.4287 | |
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| 1.2567 | 0.5998 | 1600 | 1.4576 | |
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| 1.2448 | 0.7197 | 1920 | 1.4196 | |
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| 1.2353 | 0.8397 | 2240 | 1.4249 | |
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| 1.2274 | 0.9596 | 2560 | 1.4172 | |
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| 1.1635 | 1.0796 | 2880 | 1.4180 | |
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| 1.1337 | 1.1995 | 3200 | 1.4219 | |
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| 1.1346 | 1.3195 | 3520 | 1.3954 | |
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| 1.131 | 1.4394 | 3840 | 1.3714 | |
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| 1.1325 | 1.5594 | 4160 | 1.3923 | |
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| 1.1269 | 1.6793 | 4480 | 1.4118 | |
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| 1.1221 | 1.7993 | 4800 | 1.4251 | |
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| 1.1226 | 1.9192 | 5120 | 1.3970 | |
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| 1.0898 | 2.0392 | 5440 | 1.4198 | |
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| 1.0372 | 2.1591 | 5760 | 1.4310 | |
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| 1.0325 | 2.2791 | 6080 | 1.4209 | |
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| 1.0334 | 2.3990 | 6400 | 1.4205 | |
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| 1.0328 | 2.5190 | 6720 | 1.4306 | |
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| 1.0303 | 2.6389 | 7040 | 1.4222 | |
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| 1.0283 | 2.7589 | 7360 | 1.4266 | |
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| 1.0273 | 2.8788 | 7680 | 1.4251 | |
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| 1.0295 | 2.9988 | 8000 | 1.4249 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
