---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-xls-r-300m
metrics:
- wer
model-index:
- name: xlsr-wav2vec2-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. -->

# xlsr-wav2vec2-model

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8086
- Wer: 0.4364

## 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: 8
- 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: 1000
- num_epochs: 30

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 7.4037        | 2.1645  | 500  | 3.5799          | 1.0    |
| 2.9066        | 4.3290  | 1000 | 3.0843          | 1.0    |
| 2.1161        | 6.4935  | 1500 | 1.1052          | 0.7927 |
| 1.0022        | 8.6580  | 2000 | 0.7942          | 0.6240 |
| 0.6621        | 10.8225 | 2500 | 0.7538          | 0.5438 |
| 0.5084        | 12.9870 | 3000 | 0.6946          | 0.5070 |
| 0.3937        | 15.1515 | 3500 | 0.7098          | 0.4751 |
| 0.3267        | 17.3160 | 4000 | 0.7231          | 0.4620 |
| 0.2675        | 19.4805 | 4500 | 0.7481          | 0.4604 |
| 0.2308        | 21.6450 | 5000 | 0.7755          | 0.4594 |
| 0.199         | 23.8095 | 5500 | 0.7615          | 0.4438 |
| 0.1803        | 25.9740 | 6000 | 0.8217          | 0.4358 |
| 0.1599        | 28.1385 | 6500 | 0.8086          | 0.4364 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1