---
library_name: transformers
license: apache-2.0
base_model: Eimhin03/outout_model
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: outout_model
  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. -->

# outout_model

This model is a fine-tuned version of [Eimhin03/outout_model](https://huggingface.co/Eimhin03/outout_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5216
- Wer: 23.5887

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 1500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2812        | 0.0248 | 1500 | 0.5216          | 23.5887 |


### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2