t5_cause_classifier
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2104
- F1: 0.8112
- Accuracy: 0.3196
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: 32
- eval_batch_size: 8
- 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 | 124 | 0.3976 | 0.5740 | 0.0 |
| No log | 2.0 | 248 | 0.2948 | 0.7116 | 0.0907 |
| No log | 3.0 | 372 | 0.2657 | 0.7396 | 0.1200 |
| No log | 4.0 | 496 | 0.2514 | 0.7599 | 0.1724 |
| 0.3526 | 5.0 | 620 | 0.2406 | 0.7706 | 0.2006 |
| 0.3526 | 6.0 | 744 | 0.2318 | 0.7809 | 0.2147 |
| 0.3526 | 7.0 | 868 | 0.2267 | 0.7910 | 0.2591 |
| 0.3526 | 8.0 | 992 | 0.2227 | 0.7949 | 0.2742 |
| 0.2263 | 9.0 | 1116 | 0.2178 | 0.7993 | 0.2772 |
| 0.2263 | 10.0 | 1240 | 0.2161 | 0.8028 | 0.2923 |
| 0.2263 | 11.0 | 1364 | 0.2158 | 0.8024 | 0.2873 |
| 0.2263 | 12.0 | 1488 | 0.2144 | 0.8033 | 0.2984 |
| 0.2005 | 13.0 | 1612 | 0.2125 | 0.8074 | 0.3054 |
| 0.2005 | 14.0 | 1736 | 0.2118 | 0.8076 | 0.3206 |
| 0.2005 | 15.0 | 1860 | 0.2120 | 0.8093 | 0.3095 |
| 0.2005 | 16.0 | 1984 | 0.2122 | 0.8088 | 0.3196 |
| 0.1877 | 17.0 | 2108 | 0.2109 | 0.8096 | 0.3155 |
| 0.1877 | 18.0 | 2232 | 0.2106 | 0.8103 | 0.3135 |
| 0.1877 | 19.0 | 2356 | 0.2109 | 0.8099 | 0.3155 |
| 0.1877 | 20.0 | 2480 | 0.2104 | 0.8112 | 0.3196 |
Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1