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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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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: bert-base-cased-DreamBank |
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results: [] |
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widget: |
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- text: >- |
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I dreamed that Hannah and Sue and I travelled back in time to meet her |
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parents. Weird. |
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pipeline_tag: text-classification |
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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-cased-DreamBank |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2697 |
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- F1: 0.8335 |
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- Roc Auc: 0.8761 |
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- Accuracy: 0.6703 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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 | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 185 | 0.5983 | 0.0330 | 0.5064 | 0.0162 | |
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| No log | 2.0 | 370 | 0.3939 | 0.6104 | 0.7317 | 0.4649 | |
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| 0.4638 | 3.0 | 555 | 0.3227 | 0.7572 | 0.8154 | 0.5568 | |
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| 0.4638 | 4.0 | 740 | 0.2852 | 0.7902 | 0.8412 | 0.5784 | |
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| 0.4638 | 5.0 | 925 | 0.2720 | 0.7982 | 0.8382 | 0.6270 | |
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| 0.1877 | 6.0 | 1110 | 0.2795 | 0.8144 | 0.8619 | 0.6541 | |
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| 0.1877 | 7.0 | 1295 | 0.2575 | 0.8147 | 0.8568 | 0.6541 | |
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| 0.1877 | 8.0 | 1480 | 0.2556 | 0.8204 | 0.8630 | 0.6595 | |
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| 0.0952 | 9.0 | 1665 | 0.2668 | 0.8321 | 0.8764 | 0.6703 | |
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| 0.0952 | 10.0 | 1850 | 0.2697 | 0.8335 | 0.8761 | 0.6703 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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