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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cuad |
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base_model: google/bert_uncased_L-4_H-512_A-8 |
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model-index: |
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- name: bert-small-finetuned-cuad-longer |
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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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# bert-small-finetuned-cuad-longer |
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the cuad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0617 |
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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: 2e-05 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.0601 | 1.0 | 8702 | 0.0404 | |
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| 0.0551 | 2.0 | 17404 | 0.0394 | |
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| 0.0428 | 3.0 | 26106 | 0.0481 | |
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| 0.0375 | 4.0 | 34808 | 0.0425 | |
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| 0.0403 | 5.0 | 43510 | 0.0551 | |
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| 0.0246 | 6.0 | 52212 | 0.0588 | |
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| 0.0284 | 7.0 | 60914 | 0.0557 | |
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| 0.0303 | 8.0 | 69616 | 0.0543 | |
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| 0.0239 | 9.0 | 78318 | 0.0634 | |
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| 0.0207 | 10.0 | 87020 | 0.0617 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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