---
license: apache-2.0
base_model: josebruzzoni/disfluency-spanish-v1
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: disfluency-spanish-v4
  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. -->

# disfluency-spanish-v4

This model is a fine-tuned version of [josebruzzoni/disfluency-spanish-v1](https://huggingface.co/josebruzzoni/disfluency-spanish-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2653
- Wer: 27.7008

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.002         | 20.41 | 1000 | 0.2377          | 20.2216 |
| 0.0001        | 40.82 | 2000 | 0.2524          | 23.4072 |
| 0.0001        | 61.22 | 3000 | 0.2617          | 26.7313 |
| 0.0001        | 81.63 | 4000 | 0.2653          | 27.7008 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3