t5-large-amazon-reviews-multi
This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4490
- Accuracy: 0.6136
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: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4432 | 1.0 | 12500 | 0.4469 | 0.6092 |
| 0.4099 | 2.0 | 25000 | 0.4583 | 0.6126 |
| 0.3423 | 3.0 | 37500 | 0.4853 | 0.6064 |
| 0.2906 | 4.0 | 50000 | 0.5539 | 0.6004 |
| 0.2497 | 5.0 | 62500 | 0.6157 | 0.5976 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1
- Datasets 2.9.0
- Tokenizers 0.13.3