| --- |
| license: llama2 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: codellama/CodeLlama-7b-Instruct-hf |
| model-index: |
| - name: finetuningnewmodule4 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # finetuningnewmodule4 |
|
|
| This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9178 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.001 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.688 | 1.0 | 1 | 2.7462 | |
| | 2.261 | 2.0 | 2 | 2.2006 | |
| | 1.7646 | 3.0 | 3 | 1.9486 | |
| | 1.518 | 4.0 | 4 | 1.7189 | |
| | 1.2896 | 5.0 | 5 | 1.4255 | |
| | 0.9851 | 6.0 | 6 | 1.1951 | |
| | 0.7157 | 7.0 | 7 | 1.0503 | |
| | 0.496 | 8.0 | 8 | 0.9871 | |
| | 0.3614 | 9.0 | 9 | 0.9348 | |
| | 0.2587 | 10.0 | 10 | 0.9178 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.36.0 |
| - Pytorch 2.0.1 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
| ## Training procedure |
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|
| ### Framework versions |
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| - PEFT 0.6.0 |
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|
