---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- nyagen
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-300m-nyagen-combined-hp-tuning-test-model
  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-nyagen-combined-hp-tuning-test-model

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the NYAGEN - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2689
- Wer: 0.2677

## 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: 0.0009268613959558291
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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: 30.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| No log        | 2.2254  | 100  | 2.9001          | 1.0    |
| No log        | 4.4507  | 200  | 0.8376          | 0.7849 |
| No log        | 6.6761  | 300  | 0.3087          | 0.4330 |
| No log        | 8.9014  | 400  | 0.2516          | 0.3765 |
| 30.7137       | 11.1127 | 500  | 0.2612          | 0.3434 |
| 30.7137       | 13.3380 | 600  | 0.2403          | 0.3230 |
| 30.7137       | 15.5634 | 700  | 0.2480          | 0.3156 |
| 30.7137       | 17.7887 | 800  | 0.2546          | 0.2939 |
| 30.7137       | 20.0    | 900  | 0.2638          | 0.2919 |
| 1.8035        | 22.2254 | 1000 | 0.2689          | 0.2675 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0