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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: RobertaLr1e-8Wd0.02E20 |
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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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# RobertaLr1e-8Wd0.02E20 |
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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: 3.2435 |
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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: 1e-08 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.9511 | 1.0 | 72 | 3.9642 | |
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| 2.6869 | 2.0 | 144 | 3.8774 | |
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| 3.0261 | 3.0 | 216 | 3.7963 | |
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| 2.659 | 4.0 | 288 | 3.7220 | |
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| 5.0333 | 5.0 | 360 | 3.6540 | |
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| 4.4433 | 6.0 | 432 | 3.5911 | |
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| 4.8192 | 7.0 | 504 | 3.5341 | |
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| 3.7868 | 8.0 | 576 | 3.4826 | |
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| 2.4543 | 9.0 | 648 | 3.4379 | |
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| 2.4081 | 10.0 | 720 | 3.3981 | |
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| 4.04 | 11.0 | 792 | 3.3631 | |
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| 3.5419 | 12.0 | 864 | 3.3344 | |
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| 2.8603 | 13.0 | 936 | 3.3092 | |
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| 4.191 | 14.0 | 1008 | 3.2884 | |
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| 3.1615 | 15.0 | 1080 | 3.2721 | |
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| 2.8836 | 16.0 | 1152 | 3.2593 | |
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| 4.573 | 17.0 | 1224 | 3.2509 | |
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| 2.5001 | 18.0 | 1296 | 3.2459 | |
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| 3.3777 | 19.0 | 1368 | 3.2438 | |
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| 2.5643 | 20.0 | 1440 | 3.2435 | |
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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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