---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-E50_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-E50_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: 1.8196
- Cer: 36.9713

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 31.297        | 0.1289 | 200  | 5.4260          | 100.0   |
| 4.888         | 0.2579 | 400  | 4.7009          | 100.0   |
| 4.776         | 0.3868 | 600  | 5.0539          | 100.0   |
| 4.7621        | 0.5158 | 800  | 4.6373          | 100.0   |
| 4.6795        | 0.6447 | 1000 | 4.6474          | 100.0   |
| 4.6648        | 0.7737 | 1200 | 4.8580          | 100.0   |
| 4.6503        | 0.9026 | 1400 | 4.6060          | 100.0   |
| 4.5806        | 1.0316 | 1600 | 4.6559          | 98.0204 |
| 4.5544        | 1.1605 | 1800 | 4.4803          | 98.0909 |
| 4.4936        | 1.2895 | 2000 | 4.6766          | 98.0028 |
| 4.3834        | 1.4184 | 2200 | 4.3482          | 97.9088 |
| 4.2361        | 1.5474 | 2400 | 4.1447          | 80.8036 |
| 3.6904        | 1.6763 | 2600 | 3.3525          | 59.5277 |
| 3.1158        | 1.8053 | 2800 | 2.9366          | 53.3541 |
| 2.7611        | 1.9342 | 3000 | 2.6343          | 48.2202 |
| 2.527         | 2.0632 | 3200 | 2.3777          | 44.1788 |
| 2.323         | 2.1921 | 3400 | 2.1629          | 41.8351 |
| 2.18          | 2.3211 | 3600 | 2.1591          | 42.4695 |
| 2.0783        | 2.4500 | 3800 | 2.0168          | 39.9847 |
| 1.996         | 2.5790 | 4000 | 1.9937          | 40.1492 |
| 1.9336        | 2.7079 | 4200 | 1.8950          | 38.0815 |
| 1.8621        | 2.8369 | 4400 | 1.8627          | 37.7702 |
| 1.8707        | 2.9658 | 4600 | 1.8196          | 36.9713 |


### Framework versions

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