metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-base-finetuned-ctfl-augmented_1
results: []
pakawadeep/mt5-base-finetuned-ctfl-augmented_1
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3826
- Validation Loss: 0.7498
- Train Rouge1: 8.9816
- Train Rouge2: 1.2871
- Train Rougel: 8.9463
- Train Rougelsum: 8.9816
- Train Gen Len: 11.8515
- Epoch: 24
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 |
|---|---|---|---|---|---|---|---|
| 5.3770 | 2.6665 | 4.5262 | 0.6931 | 4.5733 | 4.5733 | 8.9356 | 0 |
| 2.7256 | 2.0063 | 5.6931 | 1.3201 | 5.6518 | 5.6931 | 10.2277 | 1 |
| 2.0053 | 1.4899 | 7.7086 | 2.1782 | 7.7086 | 7.7086 | 11.3465 | 2 |
| 1.5782 | 1.2268 | 7.7086 | 2.1782 | 7.7086 | 7.7086 | 11.8168 | 3 |
| 1.3143 | 1.1257 | 8.6987 | 2.1782 | 8.6987 | 8.4866 | 11.9257 | 4 |
| 1.1311 | 1.0411 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.9406 | 5 |
| 1.0120 | 0.9954 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.9406 | 6 |
| 0.9320 | 0.9375 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.9208 | 7 |
| 0.8538 | 0.8867 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.8911 | 8 |
| 0.7999 | 0.8593 | 8.8166 | 1.7822 | 8.7459 | 8.7459 | 11.8861 | 9 |
| 0.7562 | 0.8440 | 8.5573 | 1.2871 | 8.4866 | 8.5337 | 11.8812 | 10 |
| 0.7106 | 0.8085 | 8.5573 | 1.2871 | 8.4866 | 8.5337 | 11.8812 | 11 |
| 0.6685 | 0.8044 | 7.9562 | 0.7921 | 7.8147 | 7.9562 | 11.9059 | 12 |
| 0.6377 | 0.7867 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8762 | 13 |
| 0.6067 | 0.7731 | 8.2980 | 0.7921 | 8.2096 | 8.2862 | 11.8960 | 14 |
| 0.5826 | 0.7593 | 8.2980 | 0.7921 | 8.2096 | 8.2862 | 11.8861 | 15 |
| 0.5533 | 0.7656 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.9010 | 16 |
| 0.5286 | 0.7657 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8812 | 17 |
| 0.5049 | 0.7674 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8465 | 18 |
| 0.4800 | 0.7591 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8663 | 19 |
| 0.4593 | 0.7637 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8663 | 20 |
| 0.4362 | 0.7757 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8762 | 21 |
| 0.4185 | 0.7640 | 8.9816 | 1.2871 | 8.9463 | 8.9816 | 11.8812 | 22 |
| 0.4001 | 0.7496 | 8.9816 | 1.2871 | 8.9463 | 8.9816 | 11.8762 | 23 |
| 0.3826 | 0.7498 | 8.9816 | 1.2871 | 8.9463 | 8.9816 | 11.8515 | 24 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1