flan-t5-small-ChnSentiCorp-2
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3113
- Accuracy: 0.6253
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 |
|---|---|---|---|---|
| 0.3573 | 1.0 | 552 | 0.3182 | 0.6225 |
| 0.3348 | 2.0 | 1104 | 0.3134 | 0.6369 |
| 0.3303 | 3.0 | 1656 | 0.3114 | 0.6211 |
| 0.3213 | 4.0 | 2208 | 0.3113 | 0.6253 |
| 0.3215 | 5.0 | 2760 | 0.3123 | 0.6294 |
| 0.3157 | 6.0 | 3312 | 0.3123 | 0.6397 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1