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---
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base_model: microsoft/phi-1_5
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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-QLoRA
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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-QLoRA |
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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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| 0.0 | 0.6329 | 100 | nan | |
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| 0.0 | 1.2658 | 200 | nan | |
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| 0.0 | 1.8987 | 300 | nan | |
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| 0.0 | 2.5316 | 400 | nan | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
