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t5-small-finetuned_entailment_inference
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0249
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2885 | 1.0 | 522 | 1.2005 |
| 1.2209 | 2.0 | 1044 | 1.1594 |
| 1.1871 | 3.0 | 1566 | 1.1263 |
| 1.1455 | 4.0 | 2088 | 1.1098 |
| 1.1124 | 5.0 | 2610 | 1.0949 |
| 1.0758 | 6.0 | 3132 | 1.0825 |
| 1.0485 | 7.0 | 3654 | 1.0707 |
| 1.0205 | 8.0 | 4176 | 1.0606 |
| 0.9913 | 9.0 | 4698 | 1.0523 |
| 1.0099 | 10.0 | 5220 | 1.0463 |
| 0.97 | 11.0 | 5742 | 1.0395 |
| 0.9699 | 12.0 | 6264 | 1.0370 |
| 0.9531 | 13.0 | 6786 | 1.0337 |
| 0.9449 | 14.0 | 7308 | 1.0312 |
| 0.9354 | 15.0 | 7830 | 1.0274 |
| 0.9342 | 16.0 | 8352 | 1.0266 |
| 0.9188 | 17.0 | 8874 | 1.0262 |
| 0.9219 | 18.0 | 9396 | 1.0251 |
| 0.9044 | 19.0 | 9918 | 1.0252 |
| 0.9223 | 20.0 | 10440 | 1.0249 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
