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: 2.0053
- Validation Loss: 1.4899
- Train Rouge1: 7.7086
- Train Rouge2: 2.1782
- Train Rougel: 7.7086
- Train Rougelsum: 7.7086
- Train Gen Len: 11.3465
- Epoch: 2
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 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1