metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: TestZee/t5-base-finetuned-short-news-t5-base
results: []
TestZee/t5-base-finetuned-short-news-t5-base
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.3869
- Validation Loss: 2.3736
- Train Rouge1: 30.0355
- Train Rouge2: 13.2593
- Train Rougel: 26.0004
- Train Rougelsum: 25.9971
- Train Gen Len: 19.0
- 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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 2.3869 | 2.3736 | 30.0355 | 13.2593 | 26.0004 | 25.9971 | 19.0 | 0 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3