metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-base-finetuned-ctfl-augmented_05
results: []
pakawadeep/mt5-base-finetuned-ctfl-augmented_05
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: 1.8959
- Validation Loss: 1.4532
- Train Rouge1: 7.4965
- Train Rouge2: 1.5842
- Train Rougel: 7.4257
- Train Rougelsum: 7.5436
- Train Gen Len: 11.3911
- Epoch: 3
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 |
|---|---|---|---|---|---|---|---|
| 5.9893 | 2.6002 | 4.4884 | 0.4950 | 4.3454 | 4.3399 | 8.3168 | 0 |
| 2.9777 | 2.0796 | 4.7619 | 0.3300 | 4.7000 | 4.8444 | 10.2723 | 1 |
| 2.3190 | 1.7755 | 6.4356 | 1.0891 | 6.5064 | 6.5535 | 10.6881 | 2 |
| 1.8959 | 1.4532 | 7.4965 | 1.5842 | 7.4257 | 7.5436 | 11.3911 | 3 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1