---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base_toy_train_data_random_high_pass
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-base_toy_train_data_random_high_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: 1.2841
- Wer: 0.7222

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.061         | 2.1   | 500  | 3.0551          | 1.0    |
| 1.1294        | 4.2   | 1000 | 1.3102          | 0.8777 |
| 0.7051        | 6.3   | 1500 | 1.2081          | 0.8092 |
| 0.5421        | 8.4   | 2000 | 1.2280          | 0.7684 |
| 0.448         | 10.5  | 2500 | 1.2459          | 0.7506 |
| 0.3777        | 12.6  | 3000 | 1.3533          | 0.7631 |
| 0.3611        | 14.7  | 3500 | 1.2058          | 0.7291 |
| 0.3177        | 16.81 | 4000 | 1.3168          | 0.7185 |
| 0.279         | 18.91 | 4500 | 1.2841          | 0.7222 |


### Framework versions

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