metadata
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-large-finetuned-ctfl-augmented_1
results: []
pakawadeep/mt5-large-finetuned-ctfl-augmented_1
This model is a fine-tuned version of google/mt5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.9583
- Validation Loss: 0.8494
- Train Rouge1: 8.2037
- Train Rouge2: 2.1782
- Train Rougel: 7.9915
- Train Rougelsum: 8.2037
- Train Gen Len: 11.9901
- Epoch: 4
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 |
|---|---|---|---|---|---|---|---|
| 3.7859 | 1.7737 | 3.8966 | 1.1818 | 3.8139 | 3.8868 | 12.8069 | 0 |
| 1.7728 | 1.2922 | 6.8010 | 1.1881 | 6.7657 | 6.7657 | 11.7376 | 1 |
| 1.3356 | 1.0734 | 7.3020 | 1.8152 | 7.1782 | 7.3020 | 11.9010 | 2 |
| 1.1070 | 0.9405 | 8.2037 | 2.1782 | 7.9915 | 8.2037 | 12.0198 | 3 |
| 0.9583 | 0.8494 | 8.2037 | 2.1782 | 7.9915 | 8.2037 | 11.9901 | 4 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1