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--- |
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license: cc-by-4.0 |
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base_model: deepset/bert-base-cased-squad2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-18 |
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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-18 |
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This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.3340 |
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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: 0.0001 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 11.2713 | 0.09 | 5 | 12.1606 | |
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| 11.199 | 0.18 | 10 | 11.9115 | |
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| 10.6074 | 0.27 | 15 | 11.6709 | |
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| 10.5475 | 0.36 | 20 | 11.4407 | |
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| 10.3761 | 0.45 | 25 | 11.2173 | |
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| 10.2166 | 0.55 | 30 | 11.0033 | |
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| 9.4143 | 0.64 | 35 | 10.7983 | |
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| 9.8307 | 0.73 | 40 | 10.6034 | |
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| 9.3026 | 0.82 | 45 | 10.4169 | |
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| 9.0636 | 0.91 | 50 | 10.2387 | |
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| 8.7689 | 1.0 | 55 | 10.0700 | |
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| 8.7969 | 1.09 | 60 | 9.9094 | |
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| 8.7596 | 1.18 | 65 | 9.7588 | |
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| 8.8433 | 1.27 | 70 | 9.6152 | |
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| 8.3576 | 1.36 | 75 | 9.4808 | |
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| 8.6226 | 1.45 | 80 | 9.3540 | |
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| 8.3176 | 1.55 | 85 | 9.2346 | |
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| 8.2174 | 1.64 | 90 | 9.1231 | |
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| 8.0514 | 1.73 | 95 | 9.0198 | |
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| 8.0813 | 1.82 | 100 | 8.9240 | |
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| 7.6971 | 1.91 | 105 | 8.8362 | |
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| 7.865 | 2.0 | 110 | 8.7562 | |
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| 7.7614 | 2.09 | 115 | 8.6834 | |
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| 7.6525 | 2.18 | 120 | 8.6179 | |
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| 7.7074 | 2.27 | 125 | 8.5593 | |
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| 7.7802 | 2.36 | 130 | 8.5073 | |
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| 7.4788 | 2.45 | 135 | 8.4625 | |
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| 7.6863 | 2.55 | 140 | 8.4245 | |
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| 7.3113 | 2.64 | 145 | 8.3934 | |
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| 7.6127 | 2.73 | 150 | 8.3692 | |
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| 7.471 | 2.82 | 155 | 8.3509 | |
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| 7.4979 | 2.91 | 160 | 8.3393 | |
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| 7.5977 | 3.0 | 165 | 8.3340 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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