---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: f05_main
  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. -->

# f05_main

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: 0.0948
- Wer: 1.7578

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.7677        | 0.96  | 500  | 3.1738          | 1.0    |
| 2.7137        | 1.92  | 1000 | 1.9605          | 2.5    |
| 1.2183        | 2.88  | 1500 | 0.4168          | 1.94   |
| 0.352         | 3.84  | 2000 | 0.1380          | 1.6622 |
| 0.1537        | 4.8   | 2500 | 0.1150          | 1.8356 |
| 0.0713        | 5.76  | 3000 | 0.1095          | 1.7733 |
| 0.057         | 6.72  | 3500 | 0.0948          | 1.7578 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2