---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test1000v2
  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. -->

# test1000v2

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7873
- Wer: 0.6162

## 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: 0.001
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 7.7913        | 3.22  | 100  | 3.3481          | 1.0    |
| 3.3831        | 6.44  | 200  | 3.3229          | 1.0    |
| 3.3778        | 9.67  | 300  | 3.3211          | 1.0    |
| 3.3671        | 12.89 | 400  | 3.2973          | 1.0    |
| 3.3528        | 16.13 | 500  | 3.1349          | 1.0    |
| 1.8611        | 19.35 | 600  | 0.7873          | 0.6162 |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.10.0+cu102
- Datasets 1.4.1
- Tokenizers 0.12.1