71 lines
1.8 KiB
Markdown
71 lines
1.8 KiB
Markdown
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---
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base_model: meta-llama/Llama-2-7b-chat-hf
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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: Llama2-7B-Medical-Finetune_V2
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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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# Llama2-7B-Medical-Finetune_V2
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0369
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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: 0.00025
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- train_batch_size: 26
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- eval_batch_size: 26
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- seed: 42
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- gradient_accumulation_steps: 26
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- total_train_batch_size: 676
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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: 1
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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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| 1.2907 | 0.3 | 100 | 1.1620 |
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| 1.1355 | 0.59 | 200 | 1.1211 |
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| 1.1063 | 0.89 | 300 | 1.0957 |
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| 1.0724 | 1.19 | 400 | 1.0780 |
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| 1.0489 | 1.49 | 500 | 1.0633 |
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| 1.0359 | 1.78 | 600 | 1.0512 |
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| 1.0228 | 2.08 | 700 | 1.0447 |
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| 0.9924 | 2.38 | 800 | 1.0401 |
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| 0.9906 | 2.68 | 900 | 1.0375 |
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| 0.9863 | 2.97 | 1000 | 1.0369 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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