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--- |
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license: other |
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base_model: microsoft/phi-1_5 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- scitldr |
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model-index: |
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- name: uplimit-project-3-phi-1.5 |
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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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# uplimit-project-3-phi-1.5 |
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the scitldr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5507 |
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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: 0.001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5904 | 0.4 | 800 | 2.5820 | |
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| 2.541 | 0.8 | 1600 | 2.5608 | |
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| 2.4456 | 1.2 | 2400 | 2.5628 | |
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| 2.3709 | 1.61 | 3200 | 2.5507 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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