JAY
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5089
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 29 | 5.5132 |
| No log | 2.0 | 58 | 1.4226 |
| No log | 3.0 | 87 | 0.8634 |
| No log | 4.0 | 116 | 0.6091 |
| No log | 5.0 | 145 | 0.5688 |
| No log | 6.0 | 174 | 0.5448 |
| No log | 7.0 | 203 | 0.5282 |
| No log | 8.0 | 232 | 0.5177 |
| No log | 9.0 | 261 | 0.5109 |
| No log | 10.0 | 290 | 0.5089 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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