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--- |
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license: mit |
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library_name: peft |
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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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base_model: microsoft/phi-1_5 |
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model-index: |
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- name: phi-1_5-finetuned-question-generation |
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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-1_5-finetuned-question-generation |
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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: 1.9079 |
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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: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.0206 | 0.28 | 100 | 2.8708 | |
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| 2.8007 | 0.56 | 200 | 2.6294 | |
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| 2.5551 | 0.85 | 300 | 2.4552 | |
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| 2.3554 | 1.13 | 400 | 2.2903 | |
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| 2.2233 | 1.41 | 500 | 2.1771 | |
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| 2.1114 | 1.69 | 600 | 2.0850 | |
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| 2.0211 | 1.97 | 700 | 2.0163 | |
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| 1.8995 | 2.25 | 800 | 1.9635 | |
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| 1.835 | 2.54 | 900 | 1.9226 | |
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| 1.81 | 2.82 | 1000 | 1.9079 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
