metadata
tags:
- generated_from_keras_callback
model-index:
- name: t5-small-finetuned-tf-xsum
results: []
t5-small-finetuned-tf-xsum
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.4305
- Validation Loss: 2.2432
- Train Rouge1: 29.3935
- Train Rouge2: 8.3337
- Train Rougel: 22.2859
- Train Rougelsum: 22.3557
- Train Gen Len: 18.65
- 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 |
|---|---|---|---|---|---|---|---|
| 2.4305 | 2.2432 | 29.3935 | 8.3337 | 22.2859 | 22.3557 | 18.65 | 0 |
Framework versions
- Transformers 4.21.1
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1