---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base_toy_train_data
  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. -->

# wav2vec2-base_toy_train_data

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: 1.2522
- Wer: 0.7297

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.0033        | 4.2   | 500  | 2.7702          | 1.0    |
| 1.055         | 8.4   | 1000 | 1.2671          | 0.8667 |
| 0.6628        | 12.6  | 1500 | 1.1952          | 0.7883 |
| 0.5023        | 16.8  | 2000 | 1.1435          | 0.7659 |
| 0.4535        | 21.01 | 2500 | 1.1889          | 0.7458 |
| 0.3604        | 25.21 | 3000 | 1.2650          | 0.7378 |
| 0.3175        | 29.41 | 3500 | 1.2522          | 0.7297 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.1.0
- Tokenizers 0.12.1