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_augment_0.1
  results: []
---

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# wav2vec2-base_toy_train_data_augment_0.1

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: 3.3786
- Wer: 0.9954

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.1342        | 1.05  | 250  | 3.3901          | 0.9954 |
| 3.0878        | 2.1   | 500  | 3.4886          | 0.9954 |
| 3.0755        | 3.15  | 750  | 3.4616          | 0.9954 |
| 3.0891        | 4.2   | 1000 | 3.5316          | 0.9954 |
| 3.0724        | 5.25  | 1250 | 3.2608          | 0.9954 |
| 3.0443        | 6.3   | 1500 | 3.3881          | 0.9954 |
| 3.0421        | 7.35  | 1750 | 3.4507          | 0.9954 |
| 3.0448        | 8.4   | 2000 | 3.4525          | 0.9954 |
| 3.0455        | 9.45  | 2250 | 3.3342          | 0.9954 |
| 3.0425        | 10.5  | 2500 | 3.3385          | 0.9954 |
| 3.0457        | 11.55 | 2750 | 3.4411          | 0.9954 |
| 3.0375        | 12.6  | 3000 | 3.4459          | 0.9954 |
| 3.0459        | 13.65 | 3250 | 3.3883          | 0.9954 |
| 3.0455        | 14.7  | 3500 | 3.3417          | 0.9954 |
| 3.0524        | 15.75 | 3750 | 3.3908          | 0.9954 |
| 3.0443        | 16.81 | 4000 | 3.3932          | 0.9954 |
| 3.0446        | 17.86 | 4250 | 3.4052          | 0.9954 |
| 3.0412        | 18.91 | 4500 | 3.3776          | 0.9954 |
| 3.0358        | 19.96 | 4750 | 3.3786          | 0.9954 |


### Framework versions

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