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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: microsoft/Phi-3-mini-128k-instruct |
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model-index: |
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- name: CodePhi-3-mini-128k-instruct-pythonAPPSLORA3k |
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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-128k-instruct-pythonAPPSLORA3k |
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This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6653 |
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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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- 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: 200 |
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- training_steps: 3000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.7559 | 0.0667 | 200 | 0.7381 | |
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| 0.6846 | 0.1333 | 400 | 0.7010 | |
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| 0.6779 | 0.2 | 600 | 0.6869 | |
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| 0.6019 | 0.2667 | 800 | 0.6796 | |
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| 0.3809 | 0.3333 | 1000 | 0.6797 | |
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| 0.489 | 0.4 | 1200 | 0.6763 | |
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| 0.5024 | 0.4667 | 1400 | 0.6728 | |
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| 0.6033 | 0.5333 | 1600 | 0.6695 | |
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| 0.6379 | 0.6 | 1800 | 0.6671 | |
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| 0.5938 | 0.6667 | 2000 | 0.6661 | |
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| 0.6045 | 0.7333 | 2200 | 0.6654 | |
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| 0.3571 | 0.8 | 2400 | 0.6653 | |
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| 0.6675 | 0.8667 | 2600 | 0.6653 | |
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| 0.8997 | 0.9333 | 2800 | 0.6653 | |
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| 0.6634 | 1.0 | 3000 | 0.6653 | |
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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 |
