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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: TF-Finetuned-xsum
results: []
datasets:
- xsum
language:
- en
metrics:
- rouge
pipeline_tag: summarization
---
<!-- 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. -->
# TF-Finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [xsum](https://huggingface.co/datasets/xsum) dataset.
It achieves the following results on the evaluation set:
- Train Loss:
- Validation Loss:
- Epoch:
## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, '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 |
|:----------:|:---------------:|:---------------------------------------------:|:-----:|
| | | tf.Tensor(0.1999889, shape=(), dtype=float32) | |
### Framework versions
- Transformers 4.20.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.12.1 |