---
library_name: transformers
base_model: Sans1807/content
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Sans1807/content
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Sans1807/content

This model is a fine-tuned version of [Sans1807/content](https://huggingface.co/Sans1807/content) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0944
- Cer: 0.0078
- Wer: 0.0406

## 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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer    | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 0.0005        | 5.0761  | 1000 | 0.0714          | 0.0119 | 0.0584 |
| 0.0           | 10.1523 | 2000 | 0.0821          | 0.0115 | 0.0533 |
| 0.003         | 15.2284 | 3000 | 0.0877          | 0.0091 | 0.0381 |
| 0.0157        | 20.3046 | 4000 | 0.0944          | 0.0078 | 0.0406 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.17.0
- Tokenizers 0.19.1