results
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0183
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: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.1359 | 1.0 | 1062 | 0.0482 |
0.0625 | 2.0 | 2124 | 0.0230 |
0.0463 | 3.0 | 3186 | 0.0183 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.4.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for binayakkoirala/results
Base model
google-t5/t5-small