---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base
  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. -->

# wav2vec2-base

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4500
- Wer: 0.2132

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use adafactor and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 6000

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.1825        | 4.4267  | 500  | 0.2557          | 0.2045 |
| 0.1185        | 8.8533  | 1000 | 0.3017          | 0.2121 |
| 0.0937        | 13.2756 | 1500 | 0.3172          | 0.2039 |
| 0.0777        | 17.7022 | 2000 | 0.3681          | 0.2179 |
| 0.059         | 22.1244 | 2500 | 0.4151          | 0.2232 |
| 0.0673        | 26.5511 | 3000 | 0.4483          | 0.2138 |
| 0.0479        | 30.9778 | 3500 | 0.4478          | 0.2168 |
| 0.0463        | 35.4    | 4000 | 0.4102          | 0.2138 |
| 0.0436        | 39.8267 | 4500 | 0.4533          | 0.2109 |
| 0.0355        | 44.2489 | 5000 | 0.4166          | 0.2150 |
| 0.0242        | 48.6756 | 5500 | 0.4591          | 0.2156 |
| 0.0227        | 53.0978 | 6000 | 0.4500          | 0.2132 |


### Framework versions

- Transformers 4.55.1
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.21.4