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ashwinnaidu1991/FinTradeSummary
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.9106
- Validation Loss: 3.7745
- Epoch: 13
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 6.2916 | 5.5049 | 0 |
| 5.5218 | 5.1997 | 1 |
| 5.2408 | 4.9553 | 2 |
| 5.0173 | 4.7544 | 3 |
| 4.8206 | 4.5839 | 4 |
| 4.6587 | 4.4260 | 5 |
| 4.5152 | 4.2872 | 6 |
| 4.3932 | 4.1841 | 7 |
| 4.2874 | 4.0888 | 8 |
| 4.1955 | 3.9947 | 9 |
| 4.1106 | 3.9256 | 10 |
| 4.0380 | 3.8634 | 11 |
| 3.9677 | 3.8082 | 12 |
| 3.9106 | 3.7745 | 13 |
Framework versions
- Transformers 4.21.2
- TensorFlow 2.6.0
- Datasets 2.4.0
- Tokenizers 0.12.1
