---
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 ai(self-generated) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2848
- Wer: 0.5239

## 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 3.8193        | 2.0134  | 300  | 3.6502          | 1.0    |
| 3.6873        | 4.0268  | 600  | 3.5860          | 1.0    |
| 3.6939        | 6.0403  | 900  | 3.5928          | 1.0    |
| 3.5887        | 8.0537  | 1200 | 3.5864          | 1.0    |
| 3.6768        | 10.0671 | 1500 | 3.5857          | 1.0    |
| 3.6779        | 12.0805 | 1800 | 3.5844          | 1.0    |
| 3.6155        | 14.0940 | 2100 | 3.5892          | 1.0    |
| 3.7153        | 16.1074 | 2400 | 3.5939          | 1.0    |
| 3.6172        | 18.1208 | 2700 | 3.5917          | 1.0    |
| 3.7787        | 20.1342 | 3000 | 3.6037          | 1.0    |
| 3.6783        | 22.1477 | 3300 | 3.5838          | 1.0    |
| 3.4817        | 24.1611 | 3600 | 3.3638          | 1.0    |
| 2.4234        | 26.1745 | 3900 | 2.1296          | 0.9889 |
| 2.1423        | 28.1879 | 4200 | 1.7221          | 0.9170 |
| 1.5984        | 30.2013 | 4500 | 1.5372          | 0.7765 |
| 1.3794        | 32.2148 | 4800 | 1.3687          | 0.7083 |
| 1.321         | 34.2282 | 5100 | 1.2705          | 0.6509 |
| 1.0296        | 36.2416 | 5400 | 1.2370          | 0.6185 |
| 0.9186        | 38.2550 | 5700 | 1.3053          | 0.5710 |
| 0.8659        | 40.2685 | 6000 | 1.3237          | 0.5583 |
| 0.8559        | 42.2819 | 6300 | 1.2585          | 0.5534 |
| 0.7367        | 44.2953 | 6600 | 1.2490          | 0.5396 |
| 0.7216        | 46.3087 | 6900 | 1.2701          | 0.5276 |
| 0.662         | 48.3221 | 7200 | 1.2848          | 0.5239 |


### Framework versions

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