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FingerFriend-t5-small
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7464
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6293 | 1.0 | 171 | 1.1671 |
| 1.195 | 2.0 | 342 | 1.0246 |
| 1.085 | 3.0 | 513 | 0.9553 |
| 1.0207 | 4.0 | 684 | 0.9096 |
| 0.9631 | 5.0 | 855 | 0.8782 |
| 0.9283 | 6.0 | 1026 | 0.8445 |
| 0.8987 | 7.0 | 1197 | 0.8352 |
| 0.8716 | 8.0 | 1368 | 0.8123 |
| 0.8556 | 9.0 | 1539 | 0.7983 |
| 0.8375 | 10.0 | 1710 | 0.7923 |
| 0.8239 | 11.0 | 1881 | 0.7757 |
| 0.8184 | 12.0 | 2052 | 0.7716 |
| 0.8053 | 13.0 | 2223 | 0.7642 |
| 0.7929 | 14.0 | 2394 | 0.7647 |
| 0.7867 | 15.0 | 2565 | 0.7597 |
| 0.7817 | 16.0 | 2736 | 0.7529 |
| 0.7751 | 17.0 | 2907 | 0.7506 |
| 0.7705 | 18.0 | 3078 | 0.7472 |
| 0.7657 | 19.0 | 3249 | 0.7467 |
| 0.7665 | 20.0 | 3420 | 0.7464 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
