metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Rocketknight1/t5-small-finetuned-xsum
results: []
Rocketknight1/t5-small-finetuned-xsum
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: 3.8892
- Validation Loss: 3.5213
- Train Rouge1: 15.9013
- Train Rouge2: 2.1929
- Train Rougel: 12.5423
- Train Rougelsum: 12.7369
- Train Gen Len: 18.96
- 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 |
|---|---|---|---|---|---|---|---|
| 3.8892 | 3.5213 | 15.9013 | 2.1929 | 12.5423 | 12.7369 | 18.96 | 0 |
Framework versions
- Transformers 4.16.0.dev0
- TensorFlow 2.8.0-rc0
- Datasets 1.17.0
- Tokenizers 0.11.0