metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_keras_callback
model-index:
- name: Arezo93/my_awesome_billsum_model
results: []
Arezo93/my_awesome_billsum_model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.2664
- Validation Loss: 2.9894
- Train Rouge1: 0.1347
- Train Rouge2: 0.0421
- Train Rougel: 0.1112
- Train Rougelsum: 0.1112
- Train Gen Len: 19.0
- Epoch: 2
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 |
|---|---|---|---|---|---|---|---|
| 4.2020 | 3.4100 | 0.1359 | 0.0453 | 0.114 | 0.1142 | 19.0 | 0 |
| 3.4714 | 3.1392 | 0.1263 | 0.0381 | 0.1055 | 0.1058 | 19.0 | 1 |
| 3.2664 | 2.9894 | 0.1347 | 0.0421 | 0.1112 | 0.1112 | 19.0 | 2 |
Framework versions
- Transformers 4.42.4
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1