pytorch tensorboard 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: wav2vec2-8
  results: []
---

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# wav2vec2-8

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: 3.1169
- Wer: 1.0

## 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: 0.0006
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 3.9398        | 1.56  | 200  | 3.1250          | 1.0 |
| 2.8703        | 3.12  | 400  | 3.1608          | 1.0 |
| 2.8632        | 4.69  | 600  | 3.1329          | 1.0 |
| 2.8638        | 6.25  | 800  | 3.0795          | 1.0 |
| 2.8595        | 7.81  | 1000 | 3.1410          | 1.0 |
| 2.8611        | 9.38  | 1200 | 3.0952          | 1.0 |
| 2.861         | 10.94 | 1400 | 3.1391          | 1.0 |
| 2.8603        | 12.5  | 1600 | 3.0639          | 1.0 |
| 2.8568        | 14.06 | 1800 | 3.1180          | 1.0 |
| 2.8563        | 15.62 | 2000 | 3.1170          | 1.0 |
| 2.857         | 17.19 | 2200 | 3.0846          | 1.0 |
| 2.8574        | 18.75 | 2400 | 3.0740          | 1.0 |
| 2.8543        | 20.31 | 2600 | 3.1482          | 1.0 |
| 2.8567        | 21.88 | 2800 | 3.1604          | 1.0 |
| 2.8561        | 23.44 | 3000 | 3.1055          | 1.0 |
| 2.858         | 25.0  | 3200 | 3.0669          | 1.0 |
| 2.8524        | 26.56 | 3400 | 3.0992          | 1.0 |
| 2.8557        | 28.12 | 3600 | 3.1050          | 1.0 |
| 2.8527        | 29.69 | 3800 | 3.1169          | 1.0 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
