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--- |
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license: apache-2.0 |
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base_model: willherbert27/bert-finetuned-combo-textbook-no-context |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-textbook-no-context-finetuned-squad |
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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-textbook-no-context-finetuned-squad |
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This model is a fine-tuned version of [willherbert27/bert-finetuned-combo-textbook-no-context](https://huggingface.co/willherbert27/bert-finetuned-combo-textbook-no-context) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.2753 |
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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: 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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| 1.8478 | 1.0 | 8255 | 1.9560 | |
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| 1.5614 | 2.0 | 16510 | 1.8805 | |
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| 1.3201 | 3.0 | 24765 | 1.8681 | |
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| 1.1333 | 4.0 | 33020 | 2.1644 | |
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| 0.9384 | 5.0 | 41275 | 2.1056 | |
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| 0.778 | 6.0 | 49530 | 2.3509 | |
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| 0.6555 | 7.0 | 57785 | 2.7690 | |
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| 0.5564 | 8.0 | 66040 | 3.2649 | |
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| 0.4772 | 9.0 | 74295 | 3.7807 | |
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| 0.4322 | 10.0 | 82550 | 4.2753 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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