| --- |
| license: apache-2.0 |
| base_model: facebook/bart-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| - accuracy |
| model-index: |
| - name: bart_cause_classifier |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bart_cause_classifier |
|
|
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2310 |
| - F1: 0.8139 |
| - Accuracy: 0.4022 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| |
| | No log | 1.0 | 62 | 0.2882 | 0.7066 | 0.0444 | |
| | No log | 2.0 | 124 | 0.2538 | 0.7585 | 0.1643 | |
| | No log | 3.0 | 186 | 0.2338 | 0.7840 | 0.2581 | |
| | No log | 4.0 | 248 | 0.2202 | 0.8000 | 0.2954 | |
| | No log | 5.0 | 310 | 0.2218 | 0.7997 | 0.3306 | |
| | No log | 6.0 | 372 | 0.2146 | 0.8093 | 0.3488 | |
| | No log | 7.0 | 434 | 0.2157 | 0.8073 | 0.3498 | |
| | No log | 8.0 | 496 | 0.2146 | 0.8089 | 0.3629 | |
| | 0.227 | 9.0 | 558 | 0.2223 | 0.8086 | 0.3972 | |
| | 0.227 | 10.0 | 620 | 0.2215 | 0.8088 | 0.3639 | |
| | 0.227 | 11.0 | 682 | 0.2191 | 0.8160 | 0.3982 | |
| | 0.227 | 12.0 | 744 | 0.2227 | 0.8119 | 0.3821 | |
| | 0.227 | 13.0 | 806 | 0.2293 | 0.8070 | 0.3790 | |
| | 0.227 | 14.0 | 868 | 0.2310 | 0.8089 | 0.3780 | |
| | 0.227 | 15.0 | 930 | 0.2267 | 0.8125 | 0.3982 | |
| | 0.227 | 16.0 | 992 | 0.2275 | 0.8116 | 0.3851 | |
| | 0.1282 | 17.0 | 1054 | 0.2289 | 0.8150 | 0.4052 | |
| | 0.1282 | 18.0 | 1116 | 0.2320 | 0.8106 | 0.3891 | |
| | 0.1282 | 19.0 | 1178 | 0.2321 | 0.8114 | 0.3942 | |
| | 0.1282 | 20.0 | 1240 | 0.2310 | 0.8139 | 0.4022 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.41.1 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
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|
