---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-E30_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_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: 1.0562
- Cer: 22.1393

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 30.6015       | 0.1289 | 200  | 5.2403          | 100.0   |
| 4.9516        | 0.2579 | 400  | 4.7381          | 100.0   |
| 4.8148        | 0.3868 | 600  | 4.6941          | 100.0   |
| 4.7459        | 0.5158 | 800  | 4.5804          | 100.0   |
| 4.7075        | 0.6447 | 1000 | 4.5734          | 100.0   |
| 4.6607        | 0.7737 | 1200 | 4.5106          | 100.0   |
| 4.3823        | 0.9026 | 1400 | 4.0717          | 96.7340 |
| 3.3809        | 1.0316 | 1600 | 3.0736          | 55.4746 |
| 2.7624        | 1.1605 | 1800 | 2.5641          | 45.3654 |
| 2.4           | 1.2895 | 2000 | 2.3126          | 43.4269 |
| 2.1103        | 1.4184 | 2200 | 2.0157          | 38.2343 |
| 1.9096        | 1.5474 | 2400 | 1.8777          | 35.6086 |
| 1.7178        | 1.6763 | 2600 | 1.7423          | 34.2164 |
| 1.5487        | 1.8053 | 2800 | 1.5431          | 30.9504 |
| 1.4451        | 1.9342 | 3000 | 1.4347          | 29.0002 |
| 1.3031        | 2.0632 | 3200 | 1.3301          | 26.7975 |
| 1.1895        | 2.1921 | 3400 | 1.2335          | 25.5110 |
| 1.1376        | 2.3211 | 3600 | 1.2340          | 25.0352 |
| 1.071         | 2.4500 | 3800 | 1.1303          | 23.8957 |
| 1.0488        | 2.5790 | 4000 | 1.1066          | 22.7855 |
| 1.0068        | 2.7079 | 4200 | 1.0825          | 22.4624 |
| 0.9812        | 2.8369 | 4400 | 1.0719          | 22.3449 |
| 0.9545        | 2.9658 | 4600 | 1.0562          | 22.1393 |


### Framework versions

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