---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xlsr-a-no-ag
  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. -->

# xlsr-a-no-ag

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: 0.3484
- Wer: 0.3208

## 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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 132
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 4.3717        | 2.8633  | 200  | 2.5118          | 1.0    |
| 1.1028        | 5.7194  | 400  | 0.3058          | 0.5279 |
| 0.1672        | 8.5755  | 600  | 0.2953          | 0.4243 |
| 0.0896        | 11.4317 | 800  | 0.2936          | 0.3663 |
| 0.0506        | 14.2878 | 1000 | 0.3016          | 0.3299 |
| 0.0354        | 17.1439 | 1200 | 0.3198          | 0.3481 |
| 0.0294        | 20.0    | 1400 | 0.2850          | 0.3242 |
| 0.0208        | 22.8633 | 1600 | 0.2837          | 0.3265 |
| 0.0151        | 25.7194 | 1800 | 0.2923          | 0.3231 |
| 0.0134        | 28.5755 | 2000 | 0.3153          | 0.3208 |
| 0.0151        | 31.4317 | 2200 | 0.3107          | 0.3231 |
| 0.0067        | 34.2878 | 2400 | 0.3222          | 0.3208 |
| 0.0066        | 37.1439 | 2600 | 0.3356          | 0.3208 |
| 0.0069        | 40.0    | 2800 | 0.3233          | 0.3231 |
| 0.0056        | 42.8633 | 3000 | 0.3418          | 0.3208 |
| 0.0051        | 45.7194 | 3200 | 0.3428          | 0.3197 |
| 0.0035        | 48.5755 | 3400 | 0.3484          | 0.3208 |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0