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This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2082
- Bleu: 18.6765
- Gen Len: 16.663
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.2509 | 1.0 | 4434 | 0.2305 | 15.2399 | 16.7113 |
| 0.239 | 2.0 | 8868 | 0.2172 | 17.8217 | 16.6523 |
| 0.2288 | 3.0 | 13302 | 0.2118 | 18.4048 | 16.6511 |
| 0.2273 | 4.0 | 17736 | 0.2090 | 18.2961 | 16.6802 |
| 0.2225 | 5.0 | 22170 | 0.2082 | 18.6765 | 16.663 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
