metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-small-finetuned-ctfl-augmented
results: []
pakawadeep/mt5-small-finetuned-ctfl-augmented
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.4309
- Validation Loss: 1.2286
- Train Rouge1: 8.6987
- Train Rouge2: 2.1782
- Train Rougel: 8.6987
- Train Rougelsum: 8.6987
- Train Gen Len: 11.9554
- 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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 10.7577 | 3.2303 | 0.7164 | 0.0 | 0.7206 | 0.7052 | 16.1683 | 0 |
| 5.8846 | 1.9848 | 1.5545 | 0.0 | 1.5846 | 1.5614 | 16.7376 | 1 |
| 4.2789 | 1.7719 | 5.0684 | 0.7426 | 5.1391 | 5.1155 | 11.6386 | 2 |
| 3.4851 | 1.7527 | 5.2310 | 0.9406 | 5.2310 | 5.2074 | 11.1040 | 3 |
| 2.9892 | 1.7038 | 6.2235 | 0.8251 | 6.3225 | 6.2777 | 11.3812 | 4 |
| 2.6463 | 1.6585 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.4901 | 5 |
| 2.3897 | 1.5964 | 8.6987 | 2.1782 | 8.6987 | 8.4866 | 11.7030 | 6 |
| 2.1794 | 1.5112 | 8.6987 | 2.1782 | 8.6987 | 8.4866 | 11.8317 | 7 |
| 1.9896 | 1.4461 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.9059 | 8 |
| 1.8347 | 1.3770 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.9703 | 9 |
| 1.7101 | 1.3155 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.9505 | 10 |
| 1.6003 | 1.2598 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9109 | 11 |
| 1.5041 | 1.2367 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9505 | 12 |
| 1.4309 | 1.2286 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9554 | 13 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2