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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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- null |
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model_index: |
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- name: bert-base-uncased-finetuned-QnA |
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results: |
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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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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 |
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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: 3.0604 |
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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: 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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| No log | 1.0 | 20 | 3.4894 | |
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| No log | 2.0 | 40 | 3.5654 | |
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| No log | 3.0 | 60 | 3.3185 | |
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| No log | 4.0 | 80 | 3.2859 | |
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| No log | 5.0 | 100 | 3.2947 | |
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| No log | 6.0 | 120 | 3.3998 | |
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| No log | 7.0 | 140 | 3.1642 | |
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| No log | 8.0 | 160 | 3.2653 | |
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| No log | 9.0 | 180 | 3.3427 | |
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| No log | 10.0 | 200 | 3.3549 | |
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### Framework versions |
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- Transformers 4.9.1 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.10.2 |
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- Tokenizers 0.10.3 |
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