---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-E50_freq_speed
  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_speed

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: 1.2867
- Cer: 26.4509

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 36.1912       | 0.1289 | 200  | 4.9281          | 100.0   |
| 4.8744        | 0.2579 | 400  | 4.6344          | 100.0   |
| 4.7389        | 0.3868 | 600  | 4.6396          | 100.0   |
| 4.7053        | 0.5158 | 800  | 4.6142          | 100.0   |
| 4.6271        | 0.6447 | 1000 | 4.5886          | 98.9779 |
| 4.5325        | 0.7737 | 1200 | 4.3545          | 97.4213 |
| 4.0987        | 0.9026 | 1400 | 3.3740          | 62.2768 |
| 3.1619        | 1.0316 | 1600 | 2.8281          | 48.0733 |
| 2.8074        | 1.1605 | 1800 | 2.4434          | 44.3257 |
| 2.5099        | 1.2895 | 2000 | 2.2456          | 40.7542 |
| 2.3202        | 1.4184 | 2200 | 2.0216          | 38.0169 |
| 2.2438        | 1.5474 | 2400 | 1.8903          | 35.2796 |
| 2.0245        | 1.6763 | 2600 | 1.8335          | 34.7098 |
| 1.9285        | 1.8053 | 2800 | 1.7468          | 34.4690 |
| 1.83          | 1.9342 | 3000 | 1.5999          | 31.0503 |
| 1.6842        | 2.0632 | 3200 | 1.5379          | 30.3454 |
| 1.5576        | 2.1921 | 3400 | 1.4967          | 29.8755 |
| 1.4787        | 2.3211 | 3600 | 1.3937          | 28.0721 |
| 1.458         | 2.4500 | 3800 | 1.3861          | 27.7079 |
| 1.3927        | 2.5790 | 4000 | 1.2945          | 26.1631 |
| 1.3578        | 2.7079 | 4200 | 1.3155          | 27.2968 |
| 1.3148        | 2.8369 | 4400 | 1.2744          | 26.1454 |
| 1.3245        | 2.9658 | 4600 | 1.2867          | 26.4509 |


### Framework versions

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