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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-6Wd0.02 |
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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-6Wd0.02 |
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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: 0.8514 |
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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-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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| 2.3625 | 1.0 | 72 | 1.8264 | |
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| 1.5195 | 2.0 | 144 | 1.4184 | |
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| 1.867 | 3.0 | 216 | 1.2501 | |
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| 1.5409 | 4.0 | 288 | 1.1162 | |
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| 1.0945 | 5.0 | 360 | 1.0382 | |
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| 0.3577 | 6.0 | 432 | 0.9773 | |
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| 0.7097 | 7.0 | 504 | 0.9401 | |
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| 0.7227 | 8.0 | 576 | 0.9049 | |
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| 0.4686 | 9.0 | 648 | 0.8749 | |
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| 0.6612 | 10.0 | 720 | 0.8650 | |
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| 0.6445 | 11.0 | 792 | 0.8544 | |
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| 0.713 | 12.0 | 864 | 0.8514 | |
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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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