|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_keras_callback |
|
|
model-index: |
|
|
- name: cv_summarization-t5-small |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# cv_summarization-t5-small |
|
|
|
|
|
This model is a fine-tuned version of [gopalkalpande/t5-small-finetuned-bbc-news-summarization](https://huggingface.co/gopalkalpande/t5-small-finetuned-bbc-news-summarization) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Train Loss: 0.8053 |
|
|
- Validation Loss: 0.7027 |
|
|
- Train Rougel: tf.Tensor(0.3339088, shape=(), dtype=float32) |
|
|
- Epoch: 9 |
|
|
|
|
|
## 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': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
|
|
- training_precision: float32 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Train Loss | Validation Loss | Train Rougel | Epoch | |
|
|
|:----------:|:---------------:|:----------------------------------------------:|:-----:| |
|
|
| 1.9068 | 1.5592 | tf.Tensor(0.31806523, shape=(), dtype=float32) | 0 | |
|
|
| 1.6027 | 1.3316 | tf.Tensor(0.30698553, shape=(), dtype=float32) | 1 | |
|
|
| 1.4177 | 1.1818 | tf.Tensor(0.30701882, shape=(), dtype=float32) | 2 | |
|
|
| 1.2744 | 1.0718 | tf.Tensor(0.30627215, shape=(), dtype=float32) | 3 | |
|
|
| 1.1618 | 0.9846 | tf.Tensor(0.3005299, shape=(), dtype=float32) | 4 | |
|
|
| 1.0575 | 0.9088 | tf.Tensor(0.2958022, shape=(), dtype=float32) | 5 | |
|
|
| 0.9764 | 0.8441 | tf.Tensor(0.30608675, shape=(), dtype=float32) | 6 | |
|
|
| 0.9196 | 0.7895 | tf.Tensor(0.31722832, shape=(), dtype=float32) | 7 | |
|
|
| 0.8478 | 0.7411 | tf.Tensor(0.3254477, shape=(), dtype=float32) | 8 | |
|
|
| 0.8053 | 0.7027 | tf.Tensor(0.3339088, shape=(), dtype=float32) | 9 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.30.1 |
|
|
- TensorFlow 2.12.0 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
