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--- |
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license: llama2 |
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base_model: codellama/Codellama-7b-Instruct-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: codellama-7b-sft-lora-func-names |
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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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# codellama-7b-sft-lora-func-names |
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This model is a fine-tuned version of [codellama/Codellama-7b-Instruct-hf](https://huggingface.co/codellama/Codellama-7b-Instruct-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8012 |
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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: 4e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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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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- training_steps: 960 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7046 | 0.31 | 192 | 0.7329 | |
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| 0.6521 | 0.61 | 384 | 0.7474 | |
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| 0.5824 | 0.92 | 576 | 0.7729 | |
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| 0.5575 | 1.23 | 768 | 0.7964 | |
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| 0.5371 | 1.54 | 960 | 0.8012 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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