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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-base-uncased-finetuned-QnA-v1 |
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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-base-uncased-finetuned-QnA-v1 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7610 |
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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: 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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| No log | 1.0 | 39 | 3.3668 | |
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| No log | 2.0 | 78 | 3.2134 | |
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| No log | 3.0 | 117 | 3.1685 | |
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| No log | 4.0 | 156 | 3.1042 | |
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| No log | 5.0 | 195 | 3.1136 | |
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| No log | 6.0 | 234 | 2.9051 | |
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| No log | 7.0 | 273 | 2.9077 | |
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| No log | 8.0 | 312 | 2.9774 | |
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| No log | 9.0 | 351 | 2.9321 | |
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| No log | 10.0 | 390 | 2.9501 | |
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| No log | 11.0 | 429 | 2.8544 | |
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| No log | 12.0 | 468 | 2.8761 | |
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| 3.0255 | 13.0 | 507 | 2.8152 | |
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| 3.0255 | 14.0 | 546 | 2.8046 | |
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| 3.0255 | 15.0 | 585 | 2.6979 | |
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| 3.0255 | 16.0 | 624 | 2.6379 | |
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| 3.0255 | 17.0 | 663 | 2.7091 | |
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| 3.0255 | 18.0 | 702 | 2.6914 | |
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| 3.0255 | 19.0 | 741 | 2.7403 | |
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| 3.0255 | 20.0 | 780 | 2.7479 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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