---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-IEEEAccess-FinalRun-4Datasets
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-IEEEAccess-FinalRun-4Datasets

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5364
- Wer: 0.2818
- Cer: 0.0677

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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_ratio: 0.1
- num_epochs: 45
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|
| 1.0425        | 3.2326  | 1600  | 0.4998          | 0.5122 | 0.1218 |
| 0.7519        | 6.4651  | 3200  | 0.4336          | 0.4143 | 0.0987 |
| 0.5768        | 9.6977  | 4800  | 0.4309          | 0.3936 | 0.0937 |
| 0.46          | 12.9302 | 6400  | 0.3926          | 0.3480 | 0.0832 |
| 0.382         | 16.1618 | 8000  | 0.4376          | 0.3645 | 0.0828 |
| 0.3188        | 19.3943 | 9600  | 0.4384          | 0.3376 | 0.0798 |
| 0.2536        | 22.6269 | 11200 | 0.4611          | 0.3110 | 0.0759 |
| 0.2115        | 25.8595 | 12800 | 0.4612          | 0.3048 | 0.0737 |
| 0.1882        | 29.0910 | 14400 | 0.5392          | 0.3149 | 0.0758 |
| 0.1496        | 32.3236 | 16000 | 0.5056          | 0.2951 | 0.0728 |
| 0.1252        | 35.5561 | 17600 | 0.5093          | 0.2924 | 0.0712 |
| 0.1075        | 38.7887 | 19200 | 0.5203          | 0.2866 | 0.0691 |
| 0.083         | 42.0202 | 20800 | 0.5364          | 0.2818 | 0.0677 |


### Framework versions

- Transformers 4.52.0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1