---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-E30_freq_speed_pause2
  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_speed_pause2

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: 1.4385
- Cer: 30.1116

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 31.4976       | 0.1289 | 200  | 5.0615          | 100.0   |
| 4.9534        | 0.2579 | 400  | 4.6738          | 100.0   |
| 4.8189        | 0.3868 | 600  | 4.6468          | 100.0   |
| 4.7696        | 0.5158 | 800  | 4.5988          | 100.0   |
| 4.6915        | 0.6447 | 1000 | 4.5676          | 100.0   |
| 4.66          | 0.7737 | 1200 | 4.5294          | 97.9260 |
| 4.6295        | 0.9026 | 1400 | 4.5050          | 97.9201 |
| 4.5468        | 1.0316 | 1600 | 4.4362          | 97.9377 |
| 4.4058        | 1.1605 | 1800 | 4.3229          | 96.0928 |
| 4.0025        | 1.2895 | 2000 | 3.8060          | 82.1093 |
| 3.3806        | 1.4184 | 2200 | 3.2988          | 62.4442 |
| 2.9142        | 1.5474 | 2400 | 2.9776          | 55.4054 |
| 2.5748        | 1.6763 | 2600 | 2.4457          | 47.4207 |
| 2.3231        | 1.8053 | 2800 | 2.2643          | 44.4360 |
| 2.1253        | 1.9342 | 3000 | 2.0188          | 39.4536 |
| 1.9269        | 2.0632 | 3200 | 1.8784          | 37.6439 |
| 1.7746        | 2.1921 | 3400 | 1.7279          | 35.2879 |
| 1.6518        | 2.3211 | 3600 | 1.6686          | 33.9953 |
| 1.5782        | 2.4500 | 3800 | 1.6163          | 32.7203 |
| 1.5226        | 2.5790 | 4000 | 1.5312          | 31.2162 |
| 1.472         | 2.7079 | 4200 | 1.4718          | 30.2585 |
| 1.3968        | 2.8369 | 4400 | 1.4688          | 30.5934 |
| 1.3675        | 2.9658 | 4600 | 1.4385          | 30.1116 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3