---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test3
  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. -->

# test3

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: 140.4698
- Cer: 1.7882

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 101.7886      | 1.0   | 3    | 141.5133        | 1.8588 |
| 76.3259       | 2.0   | 6    | 141.5047        | 1.7882 |
| 82.7714       | 3.0   | 9    | 141.4292        | 1.8118 |
| 107.6911      | 4.0   | 12   | 141.2027        | 1.6706 |
| 81.6931       | 5.0   | 15   | 140.4698        | 1.7882 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu113
- Datasets 2.20.0
- Tokenizers 0.15.2