ceb-tl-model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6649
- Bleu: 3.6178
- Gen Len: 18.154
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: 0.001
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0551 | 1.0 | 6516 | 0.9019 | 2.8382 | 18.183 |
| 0.879 | 2.0 | 13032 | 0.7772 | 3.1412 | 18.182 |
| 0.7844 | 3.0 | 19548 | 0.7146 | 3.4508 | 18.18 |
| 0.728 | 4.0 | 26064 | 0.6773 | 3.5651 | 18.17 |
| 0.6838 | 5.0 | 32580 | 0.6649 | 3.6178 | 18.154 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0