README.md

---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: training
  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. -->

# training

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0763
- Wer: 0.9551

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 500
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 3.6154        | 3.3557  | 500  | 3.6223          | 1.0    |
| 3.6729        | 6.7114  | 1000 | 3.5869          | 1.0    |
| 3.6718        | 10.0671 | 1500 | 3.5824          | 1.0    |
| 3.7365        | 13.4228 | 2000 | 3.5829          | 1.0    |
| 3.5897        | 16.7785 | 2500 | 3.5750          | 1.0    |
| 3.5689        | 20.1342 | 3000 | 3.2325          | 1.0    |
| 2.4663        | 23.4899 | 3500 | 2.0763          | 0.9551 |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1