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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: arphiv |
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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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# arphiv |
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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: 1.9806 |
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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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| 1.9802 | 0.1 | 200 | 2.0909 | |
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| 1.9764 | 0.2 | 400 | 2.0620 | |
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| 1.9247 | 0.3 | 600 | 2.0534 | |
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| 2.0485 | 0.4 | 800 | 2.0619 | |
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| 1.9351 | 0.5 | 1000 | 2.0143 | |
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| 1.9793 | 0.6 | 1200 | 2.0255 | |
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| 1.9704 | 0.7 | 1400 | 2.0190 | |
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| 1.9144 | 0.8 | 1600 | 1.9922 | |
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| 2.0139 | 0.9 | 1800 | 2.0024 | |
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| 1.9789 | 1.0 | 2000 | 1.9845 | |
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| 1.622 | 1.1 | 2200 | 2.0068 | |
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| 1.6057 | 1.2 | 2400 | 2.0123 | |
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| 1.6747 | 1.31 | 2600 | 1.9998 | |
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| 1.5369 | 1.41 | 2800 | 2.0055 | |
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| 1.5566 | 1.51 | 3000 | 2.0138 | |
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| 1.3799 | 1.61 | 3200 | 1.9924 | |
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| 1.5956 | 1.71 | 3400 | 1.9849 | |
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| 1.3932 | 1.81 | 3600 | 1.9926 | |
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| 1.4757 | 1.91 | 3800 | 1.9806 | |
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### Framework versions |
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- Transformers 4.34.1 |
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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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