---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-tsovatush-demo-colab-bryn-hauk-11-10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-xls-r-300m-tsovatush-demo-colab-bryn-hauk-11-10

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: 1.0335
- Wer: 0.4883
- Cer: 0.1275

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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    | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 4.9765        | 6.8966  | 400  | 1.4359          | 0.9369 | 0.2946 |
| 1.1792        | 13.7931 | 800  | 0.8249          | 0.5694 | 0.1605 |
| 0.6068        | 20.6897 | 1200 | 0.8757          | 0.5261 | 0.1442 |
| 0.3661        | 27.5862 | 1600 | 0.9834          | 0.5171 | 0.1372 |
| 0.2159        | 34.4828 | 2000 | 0.9937          | 0.5099 | 0.1385 |
| 0.1284        | 41.3793 | 2400 | 1.0792          | 0.5225 | 0.1376 |
| 0.0839        | 48.2759 | 2800 | 1.0335          | 0.4883 | 0.1275 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1