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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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model-index: |
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- name: bert_large_subjqa_model_v3 |
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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_large_subjqa_model_v3 |
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This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.8423 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 410 | 2.3971 | |
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| 2.5672 | 2.0 | 820 | 2.7380 | |
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| 1.6385 | 3.0 | 1230 | 3.1387 | |
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| 0.8467 | 4.0 | 1640 | 4.0478 | |
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| 0.4177 | 5.0 | 2050 | 4.9824 | |
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| 0.4177 | 6.0 | 2460 | 5.5992 | |
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| 0.2208 | 7.0 | 2870 | 6.2417 | |
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| 0.1469 | 8.0 | 3280 | 7.1139 | |
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| 0.0966 | 9.0 | 3690 | 8.0166 | |
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| 0.0746 | 10.0 | 4100 | 7.7937 | |
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| 0.0589 | 11.0 | 4510 | 7.8738 | |
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| 0.0589 | 12.0 | 4920 | 8.3362 | |
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| 0.0439 | 13.0 | 5330 | 8.6546 | |
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| 0.0388 | 14.0 | 5740 | 8.8050 | |
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| 0.029 | 15.0 | 6150 | 8.8423 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 1.13.0a0+d321be6 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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