---
library_name: transformers
license: apache-2.0
base_model: Osolon/wav2vec2-large-xls-r-300m-pl
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: test_pelby_v3
  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. -->

# test_pelby_v3

This model is a fine-tuned version of [Osolon/wav2vec2-large-xls-r-300m-pl](https://huggingface.co./Osolon/wav2vec2-large-xls-r-300m-pl) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.0850

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.2464        | 0.1241 | 400  | inf             | 0.2219 |
| 0.2056        | 0.2481 | 800  | inf             | 0.1526 |
| 0.1711        | 0.3722 | 1200 | inf             | 0.1356 |
| 0.1399        | 0.4963 | 1600 | inf             | 0.1103 |
| 0.1453        | 0.6203 | 2000 | inf             | 0.1087 |
| 0.1221        | 0.7444 | 2400 | inf             | 0.0938 |
| 0.1122        | 0.8685 | 2800 | inf             | 0.0877 |
| 0.109         | 0.9926 | 3200 | inf             | 0.0850 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1