t5-small-ChnSentiCorp
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3179
- Accuracy: 0.6307
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4951 | 1.0 | 552 | 0.3255 | 0.6033 |
| 0.3405 | 2.0 | 1104 | 0.3224 | 0.6081 |
| 0.332 | 3.0 | 1656 | 0.3244 | 0.6067 |
| 0.3285 | 4.0 | 2208 | 0.3179 | 0.6307 |
| 0.3248 | 5.0 | 2760 | 0.3195 | 0.6287 |
| 0.3203 | 6.0 | 3312 | 0.3194 | 0.6301 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1
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Base model
google-t5/t5-small