structured_gc_conservation_t5_small
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4591
- Accuracy: 0.8261
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: 0
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 384 | 0.5878 | 0.7292 |
| 0.6419 | 2.0 | 768 | 0.4619 | 0.8144 |
| 0.5697 | 3.0 | 1152 | 0.4533 | 0.8222 |
| 0.5408 | 4.0 | 1536 | 0.4579 | 0.8257 |
| 0.5408 | 5.0 | 1920 | 0.4535 | 0.8280 |
| 0.5339 | 6.0 | 2304 | 0.4591 | 0.8261 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
google-t5/t5-small