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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
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