metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: mohammedbriman/t5-small-finetuned-cnn-dm
results: []
mohammedbriman/t5-small-finetuned-cnn-dm
This model is a fine-tuned version of t5-small on CNN/DailyMail dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1086
- Validation Loss: 1.0703
- Train Rouge1: 24.2706
- Train Rouge2: 11.6659
- Train Rougel: 20.0926
- Train Rougelsum: 20.1515
- Train Gen Len: 18.9998
- Epoch: 1
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 |
|---|---|---|---|---|---|---|---|
| 1.1086 | 1.0703 | 24.2706 | 11.6659 | 20.0926 | 20.1515 | 18.9998 | 1 |
Framework versions
- Transformers 4.21.2
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1