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-base_toy_train_data_random_low_pass
  results: []
---

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# wav2vec2-base_toy_train_data_random_low_pass

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3227
- Wer: 0.7288

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.0795        | 2.1   | 500  | 3.2227          | 0.9982 |
| 1.21          | 4.2   | 1000 | 1.3713          | 0.8879 |
| 0.742         | 6.3   | 1500 | 1.2660          | 0.8296 |
| 0.5877        | 8.4   | 2000 | 1.2921          | 0.7794 |
| 0.4823        | 10.5  | 2500 | 1.2899          | 0.7565 |
| 0.4036        | 12.6  | 3000 | 1.3486          | 0.7494 |
| 0.391         | 14.7  | 3500 | 1.2701          | 0.7466 |
| 0.3426        | 16.81 | 4000 | 1.3570          | 0.7279 |
| 0.3015        | 18.91 | 4500 | 1.3227          | 0.7288 |


### Framework versions

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