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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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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: phi-3-mini-LoRA |
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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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# phi-3-mini-LoRA |
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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: 0.8384 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4537 | 0.2052 | 100 | 1.2281 | |
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| 1.0408 | 0.4105 | 200 | 0.9405 | |
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| 0.915 | 0.6157 | 300 | 0.9088 | |
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| 0.9159 | 0.8209 | 400 | 0.8933 | |
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| 0.8925 | 1.0262 | 500 | 0.8809 | |
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| 0.8837 | 1.2314 | 600 | 0.8712 | |
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| 0.8753 | 1.4366 | 700 | 0.8604 | |
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| 0.8701 | 1.6419 | 800 | 0.8537 | |
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| 0.8755 | 1.8471 | 900 | 0.8498 | |
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| 0.8603 | 2.0523 | 1000 | 0.8460 | |
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| 0.8669 | 2.2576 | 1100 | 0.8434 | |
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| 0.8558 | 2.4628 | 1200 | 0.8410 | |
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| 0.8482 | 2.6680 | 1300 | 0.8395 | |
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| 0.844 | 2.8733 | 1400 | 0.8384 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
