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--- |
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license: mit |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: AdnanRiaz107/CodePhi-3-mini-4k-instruct-python |
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model-index: |
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- name: CodePhi-3-mini-4k-instruct-pythonAPPS |
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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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# CodePhi-3-mini-4k-instruct-pythonAPPS |
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This model is a fine-tuned version of [AdnanRiaz107/CodePhi-3-mini-4k-instruct-python](https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-python) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6522 |
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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: 5e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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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_steps: 100 |
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- training_steps: 1200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.5844 | 0.0833 | 100 | 0.6866 | |
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| 0.6441 | 0.1667 | 200 | 0.6737 | |
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| 0.6551 | 0.25 | 300 | 0.6658 | |
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| 0.5858 | 0.3333 | 400 | 0.6605 | |
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| 0.6136 | 0.4167 | 500 | 0.6569 | |
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| 0.5982 | 0.5 | 600 | 0.6546 | |
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| 0.6 | 0.5833 | 700 | 0.6531 | |
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| 0.5609 | 0.6667 | 800 | 0.6525 | |
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| 0.5824 | 0.75 | 900 | 0.6523 | |
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| 0.538 | 0.8333 | 1000 | 0.6523 | |
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| 0.6339 | 0.9167 | 1100 | 0.6523 | |
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| 0.6138 | 1.0 | 1200 | 0.6522 | |
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### Framework versions |
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- PEFT 0.11.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
