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--- |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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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: MedQA_L3_500steps_1e7rate_SFT |
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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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# MedQA_L3_500steps_1e7rate_SFT |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3157 |
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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-07 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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: 100 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.774 | 0.0489 | 50 | 1.7867 | |
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| 1.7099 | 0.0977 | 100 | 1.6989 | |
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| 1.5892 | 0.1466 | 150 | 1.5687 | |
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| 1.4868 | 0.1954 | 200 | 1.4685 | |
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| 1.4001 | 0.2443 | 250 | 1.3929 | |
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| 1.3564 | 0.2931 | 300 | 1.3457 | |
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| 1.3261 | 0.3420 | 350 | 1.3226 | |
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| 1.3101 | 0.3908 | 400 | 1.3163 | |
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| 1.3032 | 0.4397 | 450 | 1.3159 | |
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| 1.3189 | 0.4885 | 500 | 1.3157 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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