metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bart_cause_classifier
results: []
bart_cause_classifier
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1