---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base_toy_train_data_random_noise
  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_noise

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: 1.0909
- Wer: 0.7351

## 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: 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: 1000
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.128         | 2.1   | 250  | 3.5052          | 1.0    |
| 3.0423        | 4.2   | 500  | 2.9312          | 1.0    |
| 1.4109        | 6.3   | 750  | 1.2618          | 0.8915 |
| 0.9132        | 8.4   | 1000 | 1.1074          | 0.8436 |
| 0.7146        | 10.5  | 1250 | 1.0397          | 0.7876 |
| 0.5418        | 12.6  | 1500 | 1.0359          | 0.7662 |
| 0.4649        | 14.7  | 1750 | 1.0469          | 0.7467 |
| 0.4127        | 16.8  | 2000 | 1.0655          | 0.7404 |
| 0.3881        | 18.9  | 2250 | 1.0909          | 0.7351 |


### Framework versions

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