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--- |
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license: mit |
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base_model: microsoft/Phi-3-mini-128k-instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: CodePhi-3-miniFull0.1k |
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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-miniFull0.1k |
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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: 0.6586 |
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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: 10 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7277 | 0.1 | 10 | 0.7000 | |
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| 0.6698 | 0.2 | 20 | 0.6784 | |
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| 0.6505 | 0.3 | 30 | 0.6673 | |
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| 0.6621 | 0.4 | 40 | 0.6620 | |
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| 0.5436 | 0.5 | 50 | 0.6590 | |
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| 0.3544 | 0.6 | 60 | 0.6591 | |
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| 0.4525 | 0.7 | 70 | 0.6588 | |
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| 0.4208 | 0.8 | 80 | 0.6586 | |
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| 0.5922 | 0.9 | 90 | 0.6586 | |
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| 0.6187 | 1.0 | 100 | 0.6586 | |
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### Framework versions |
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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 |
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