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--- |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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library_name: peft |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: phi3-mini-4k-adapter_4 |
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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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# phi3-mini-4k-adapter_4 |
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1769 |
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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: 0.0002 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 24 |
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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: 0.05 |
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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 7.4868 | 0.9091 | 10 | 5.1948 | |
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| 0.2094 | 1.8182 | 20 | 0.2065 | |
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| 0.1037 | 2.7273 | 30 | 0.1536 | |
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| 0.0781 | 3.6364 | 40 | 0.1529 | |
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| 0.0635 | 4.5455 | 50 | 0.1555 | |
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| 0.0612 | 5.4545 | 60 | 0.1575 | |
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| 0.0548 | 6.3636 | 70 | 0.1723 | |
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| 0.0502 | 7.2727 | 80 | 0.1769 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.43.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
