---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: prikarsartam/Chatelet
  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. -->

# prikarsartam/Chatelet

This model is a fine-tuned version of [prikarsartam/Chatelet](https://huggingface.co/prikarsartam/Chatelet) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.6426
- Validation Loss: 2.4740
- Train Rouge1: 28.4570
- Train Rouge2: 7.8923
- Train Rougel: 22.4844
- Train Rougelsum: 22.5176
- Train Gen Len: 18.839
- Epoch: 2

## 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': 2e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.6549     | 2.4765          | 28.4405      | 7.9286       | 22.5463      | 22.5954         | 18.839        | 0     |
| 2.6498     | 2.4752          | 28.4785      | 7.9250       | 22.5438      | 22.5986         | 18.84         | 1     |
| 2.6426     | 2.4740          | 28.4570      | 7.8923       | 22.4844      | 22.5176         | 18.839        | 2     |


### Framework versions

- Transformers 4.22.1
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1