metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-small-finetuned-ctfl
results: []
language:
- th
pakawadeep/mt5-small-finetuned-ctfl
This model is a fine-tuned version of google/mt5-small on CTFL-GEC dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.9386
- Validation Loss: 1.1006
- Train Rouge1: 8.2390
- Train Rouge2: 1.3861
- Train Rougel: 8.5219
- Train Rougelsum: 8.2744
- Train Gen Len: 11.9505
- Epoch: 27
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 |
|---|---|---|---|---|---|---|---|
| 2.0267 | 1.4685 | 8.4866 | 2.1287 | 8.6987 | 8.4158 | 11.8317 | 0 |
| 1.8791 | 1.4054 | 8.4866 | 2.1287 | 8.6987 | 8.4158 | 11.7772 | 1 |
| 1.7619 | 1.4034 | 8.4866 | 2.1287 | 8.6987 | 8.4158 | 11.8069 | 2 |
| 1.6707 | 1.3687 | 8.9463 | 2.1287 | 9.1938 | 8.9816 | 11.8762 | 3 |
| 1.5788 | 1.3420 | 8.4866 | 2.1287 | 8.6987 | 8.4866 | 11.9059 | 4 |
| 1.5039 | 1.3403 | 8.4866 | 2.1287 | 8.6987 | 8.4866 | 11.9158 | 5 |
| 1.4301 | 1.3176 | 8.4866 | 2.1287 | 8.6987 | 8.4866 | 11.9307 | 6 |
| 1.3983 | 1.3101 | 8.6634 | 2.3102 | 8.7871 | 8.6634 | 11.9257 | 7 |
| 1.3550 | 1.2941 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9356 | 8 |
| 1.3139 | 1.2659 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9257 | 9 |
| 1.2710 | 1.2536 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9257 | 10 |
| 1.2479 | 1.2394 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9257 | 11 |
| 1.2359 | 1.2252 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9406 | 12 |
| 1.2031 | 1.2193 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9307 | 13 |
| 1.1813 | 1.1963 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9455 | 14 |
| 1.1556 | 1.1897 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9455 | 15 |
| 1.1242 | 1.1786 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9406 | 16 |
| 1.1060 | 1.1575 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9554 | 17 |
| 1.0808 | 1.1620 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9505 | 18 |
| 1.0620 | 1.1564 | 8.7694 | 2.2772 | 8.9816 | 8.7694 | 11.9554 | 19 |
| 1.0489 | 1.1491 | 8.2744 | 1.8812 | 8.4866 | 8.2744 | 11.9505 | 20 |
| 1.0313 | 1.1292 | 8.2744 | 1.8812 | 8.4866 | 8.2744 | 11.9554 | 21 |
| 1.0104 | 1.1294 | 8.2744 | 1.8812 | 8.4866 | 8.2744 | 11.9802 | 22 |
| 0.9917 | 1.1190 | 8.4866 | 1.8812 | 8.7341 | 8.5219 | 11.9505 | 23 |
| 0.9642 | 1.1348 | 8.2390 | 1.3861 | 8.5219 | 8.2744 | 11.9406 | 24 |
| 0.9629 | 1.1197 | 8.2390 | 1.3861 | 8.5219 | 8.2744 | 11.9406 | 25 |
| 0.9512 | 1.1060 | 8.2390 | 1.3861 | 8.5219 | 8.2744 | 11.9505 | 26 |
| 0.9386 | 1.1006 | 8.2390 | 1.3861 | 8.5219 | 8.2744 | 11.9505 | 27 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2