---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-E30_feq_speed2
  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_feq_speed2

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: 1.1152
- Cer: 23.6251

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 40.1347       | 0.1289 | 200  | 5.0362          | 100.0   |
| 4.9594        | 0.2579 | 400  | 4.6347          | 100.0   |
| 4.7937        | 0.3868 | 600  | 4.6122          | 100.0   |
| 4.7775        | 0.5158 | 800  | 4.6742          | 100.0   |
| 4.7068        | 0.6447 | 1000 | 4.5784          | 100.0   |
| 4.6819        | 0.7737 | 1200 | 4.5673          | 100.0   |
| 4.6273        | 0.9026 | 1400 | 4.4307          | 100.0   |
| 4.355         | 1.0316 | 1600 | 4.0447          | 88.3020 |
| 3.6473        | 1.1605 | 1800 | 3.1079          | 59.8884 |
| 2.8791        | 1.2895 | 2000 | 2.5597          | 49.6651 |
| 2.4172        | 1.4184 | 2200 | 2.2464          | 44.2656 |
| 2.0866        | 1.5474 | 2400 | 1.9422          | 39.3948 |
| 1.8889        | 1.6763 | 2600 | 1.7683          | 34.9060 |
| 1.7055        | 1.8053 | 2800 | 1.6691          | 33.8719 |
| 1.5474        | 1.9342 | 3000 | 1.4660          | 29.6886 |
| 1.3932        | 2.0632 | 3200 | 1.4206          | 28.7427 |
| 1.2787        | 2.1921 | 3400 | 1.3387          | 27.7086 |
| 1.1968        | 2.3211 | 3600 | 1.2747          | 26.5217 |
| 1.1476        | 2.4500 | 3800 | 1.2341          | 25.7168 |
| 1.1007        | 2.5790 | 4000 | 1.1612          | 24.3831 |
| 1.0757        | 2.7079 | 4200 | 1.1585          | 24.6416 |
| 1.0166        | 2.8369 | 4400 | 1.1327          | 23.9953 |
| 0.9917        | 2.9658 | 4600 | 1.1152          | 23.6251 |


### Framework versions

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