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--- |
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license: cc-by-4.0 |
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base_model: deepset/roberta-base-squad2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: RobertaLr3e-6Wd0.03 |
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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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# RobertaLr3e-6Wd0.03 |
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5300 |
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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: 3e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6076 | 1.0 | 72 | 1.2097 | |
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| 1.0856 | 2.0 | 144 | 0.9032 | |
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| 0.9492 | 3.0 | 216 | 0.7817 | |
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| 1.0347 | 4.0 | 288 | 0.6543 | |
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| 0.5606 | 5.0 | 360 | 0.6271 | |
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| 0.1055 | 6.0 | 432 | 0.6002 | |
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| 0.4313 | 7.0 | 504 | 0.5759 | |
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| 0.5642 | 8.0 | 576 | 0.5698 | |
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| 0.0567 | 9.0 | 648 | 0.5374 | |
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| 0.3257 | 10.0 | 720 | 0.5339 | |
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| 0.1066 | 11.0 | 792 | 0.5326 | |
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| 0.1785 | 12.0 | 864 | 0.5300 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.4.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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