pytorch wav2vec2 automatic-speech-recognition transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xlsr-53_toy_train_data
  results: []
---

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# wav2vec2-large-xlsr-53_toy_train_data

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: 0.6357
- Wer: 0.5496

## 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
- 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: 1000
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.6073        | 2.1   | 250  | 3.5111          | 1.0    |
| 3.0828        | 4.2   | 500  | 3.5133          | 1.0    |
| 1.9969        | 6.3   | 750  | 1.3924          | 0.9577 |
| 0.9279        | 8.4   | 1000 | 0.8378          | 0.7243 |
| 0.6692        | 10.5  | 1250 | 0.7367          | 0.6394 |
| 0.5273        | 12.6  | 1500 | 0.6703          | 0.5907 |
| 0.4314        | 14.7  | 1750 | 0.6594          | 0.5718 |
| 0.3809        | 16.8  | 2000 | 0.6138          | 0.5559 |
| 0.3934        | 18.9  | 2250 | 0.6357          | 0.5496 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6
