| --- |
| base_model: microsoft/Phi-3-mini-128k-instruct |
| library_name: peft |
| license: mit |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: phi-3-mini-LoRA |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # phi-3-mini-LoRA |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0627 |
|
|
| ## Model description |
|
|
| 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 |
|
|
| More information needed |
|
|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 12 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 48 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 50 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-------:|:----:|:---------------:| |
| | 1.9816 | 12.1212 | 100 | 1.3459 | |
| | 1.2426 | 24.2424 | 200 | 1.1432 | |
| | 1.0306 | 36.3636 | 300 | 1.0812 | |
| | 0.9491 | 48.4848 | 400 | 1.0627 | |
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| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
