---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: krm/mt5-small-OrangeSum-Summarizer
  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. -->

# krm/mt5-small-OrangeSum-Summarizer

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.7771
- Validation Loss: 2.5727
- 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 5000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 7.8346     | 3.2199          | 0     |
| 5.1020     | 2.8619          | 1     |
| 4.5632     | 2.7564          | 2     |
| 4.2564     | 2.6726          | 3     |
| 4.0501     | 2.6300          | 4     |
| 3.9185     | 2.5930          | 5     |
| 3.8209     | 2.5792          | 6     |
| 3.7771     | 2.5727          | 7     |


### Framework versions

- Transformers 4.22.2
- TensorFlow 2.8.2
- Datasets 2.5.2
- Tokenizers 0.12.1