metadata
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-large-finetuned-ctfl-augmented
results: []
pakawadeep/mt5-large-finetuned-ctfl-augmented
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: 7.1544
- Validation Loss: 4.7384
- Train Rouge1: 0.2888
- Train Rouge2: 0.0
- Train Rougel: 0.2888
- Train Rougelsum: 0.2475
- Train Gen Len: 16.6436
- Epoch: 0
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 |
|---|---|---|---|---|---|---|---|
| 7.1544 | 4.7384 | 0.2888 | 0.0 | 0.2888 | 0.2475 | 16.6436 | 0 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2