---
base_model: google/pegasus-large
tags:
- generated_from_keras_callback
model-index:
- name: s-man2099/google-pegasus-large
  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. -->

# s-man2099/google-pegasus-large

This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.0100
- Validation Loss: 3.5622
- Epoch: 7

## 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': 'Adafactor', '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': 5.999999e-13, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.4456     | 3.5894          | 0     |
| 4.0552     | 3.5645          | 1     |
| 4.0056     | 3.5623          | 2     |
| 3.9808     | 3.5622          | 3     |
| 3.9825     | 3.5622          | 4     |
| 4.0072     | 3.5622          | 5     |
| 3.9842     | 3.5622          | 6     |
| 4.0100     | 3.5622          | 7     |


### Framework versions

- Transformers 4.34.1
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1