metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: assamim/t5-small-english
results: []
assamim/t5-small-english
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.7206
- Validation Loss: 2.4015
- Train Rouge1: 29.5818
- Train Rouge2: 7.8964
- Train Rougel: 22.6985
- Train Rougelsum: 22.7069
- Train Gen Len: 18.84
- 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 |
|---|---|---|---|---|---|---|---|
| 2.7206 | 2.4015 | 29.5818 | 7.8964 | 22.6985 | 22.7069 | 18.84 | 0 |
Framework versions
- Transformers 4.19.3
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.12.1