---
base_model: facebook/wav2vec2-xls-r-300m
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-E30_freq_pause
  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-E30_freq_pause

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: 4.2019
- Cer: 75.5110

## 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 35.7962       | 0.1289 | 200  | 6.9049          | 100.0   |
| 14.8713       | 0.2579 | 400  | 4.9998          | 90.5193 |
| 10.3032       | 0.3868 | 600  | 4.5702          | 93.8440 |
| 8.67          | 0.5158 | 800  | 4.6552          | 92.9570 |
| 5.3475        | 0.6447 | 1000 | 4.5889          | 94.0437 |
| 4.9653        | 0.7737 | 1200 | 4.6626          | 93.9203 |
| 5.4367        | 0.9026 | 1400 | 4.4921          | 93.8322 |
| 5.1023        | 1.0316 | 1600 | 4.5898          | 93.5620 |
| 4.6675        | 1.1605 | 1800 | 4.3543          | 93.2801 |
| 4.9955        | 1.2895 | 2000 | 4.3195          | 92.9159 |
| 4.7843        | 1.4184 | 2200 | 4.2888          | 92.4871 |
| 4.7112        | 1.5474 | 2400 | 4.2545          | 92.2580 |
| 4.958         | 1.6763 | 2600 | 4.3499          | 85.8141 |
| 4.5195        | 1.8053 | 2800 | 4.2328          | 83.8522 |
| 4.7397        | 1.9342 | 3000 | 4.2644          | 82.5540 |
| 4.2707        | 2.0632 | 3200 | 4.3350          | 83.0298 |
| 4.6255        | 2.1921 | 3400 | 4.1961          | 81.6671 |
| 4.2181        | 2.3211 | 3600 | 4.1846          | 79.9107 |
| 4.6953        | 2.4500 | 3800 | 4.3664          | 74.8590 |
| 4.2375        | 2.5790 | 4000 | 4.5549          | 74.7650 |
| 4.186         | 2.7079 | 4200 | 4.2655          | 75.3818 |
| 4.2477        | 2.8369 | 4400 | 4.1909          | 76.5625 |
| 4.2201        | 2.9658 | 4600 | 4.2019          | 75.5110 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1