---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: xls-r-300m-mocho-120
  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. -->

# xls-r-300m-mocho-120

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: 0.0505
- Cer: 0.0300

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 3.3995        | 3.6364  | 400  | 1.1680          | 0.4202 |
| 1.3772        | 7.2727  | 800  | 0.7910          | 0.3031 |
| 1.0304        | 10.9091 | 1200 | 0.5138          | 0.1994 |
| 0.8008        | 14.5455 | 1600 | 0.3396          | 0.1475 |
| 0.6073        | 18.1818 | 2000 | 0.2182          | 0.0974 |
| 0.4772        | 21.8182 | 2400 | 0.1480          | 0.0688 |
| 0.3533        | 25.4545 | 2800 | 0.0960          | 0.0500 |
| 0.2672        | 29.0909 | 3200 | 0.0505          | 0.0300 |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0