---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
model-index:
- name: xlsr53
  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. -->

# xlsr53

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6497
- Cer: 1.0

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 86.7857       | 1.0   | 10   | 13.0096         | 0.9930 |
| 64.0349       | 2.0   | 20   | 5.7889          | 1.0    |
| 20.8761       | 3.0   | 30   | 4.3652          | 1.0    |
| 12.3363       | 4.0   | 40   | 3.8773          | 1.0    |
| 11.0137       | 5.0   | 50   | 3.7471          | 1.0    |
| 10.7147       | 6.0   | 60   | 3.6982          | 1.0    |
| 10.5702       | 7.0   | 70   | 3.6885          | 1.0    |
| 10.1350       | 8.0   | 80   | 3.6772          | 1.0    |
| 10.7296       | 9.0   | 90   | 3.6753          | 1.0    |
| 10.0155       | 10.0  | 100  | 3.6693          | 1.0    |
| 23.2533       | 11.0  | 110  | 3.6945          | 1.0    |
| 11.0381       | 12.0  | 120  | 3.6739          | 1.0    |
| 10.8187       | 13.0  | 130  | 3.6736          | 1.0    |
| 10.4372       | 14.0  | 140  | 3.6692          | 1.0    |
| 10.3977       | 15.0  | 150  | 3.6721          | 1.0    |
| 10.1144       | 16.0  | 160  | 3.6679          | 1.0    |
| 10.2825       | 17.0  | 170  | 3.6669          | 1.0    |
| 10.4510       | 18.0  | 180  | 3.6651          | 1.0    |
| 10.1287       | 19.0  | 190  | 3.6654          | 1.0    |
| 10.1370       | 20.0  | 200  | 3.6608          | 1.0    |
| 10.3325       | 21.0  | 210  | 3.6639          | 1.0    |
| 10.5143       | 22.0  | 220  | 3.6630          | 1.0    |
| 10.3311       | 23.0  | 230  | 3.6666          | 1.0    |
| 10.4097       | 24.0  | 240  | 3.6611          | 1.0    |
| 13.4818       | 25.0  | 250  | 3.6602          | 1.0    |
| 13.6625       | 26.0  | 260  | 3.6586          | 1.0    |
| 10.1651       | 27.0  | 270  | 3.6568          | 1.0    |
| 10.3636       | 28.0  | 280  | 3.6508          | 1.0    |
| 13.1884       | 29.0  | 290  | 3.6498          | 1.0    |
| 9.9916        | 30.0  | 300  | 3.6497          | 1.0    |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2