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: wav2vec2-6
  results: []
---

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# wav2vec2-6

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: 5.2459
- 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: 0.003
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 4.5873        | 1.56  | 200  | 5.4586          | 1.0 |
| 4.1846        | 3.12  | 400  | 5.2278          | 1.0 |
| 4.1711        | 4.69  | 600  | 5.3131          | 1.0 |
| 4.1581        | 6.25  | 800  | 5.2558          | 1.0 |
| 4.1275        | 7.81  | 1000 | 5.2556          | 1.0 |
| 4.1452        | 9.38  | 1200 | 5.2637          | 1.0 |
| 4.1614        | 10.94 | 1400 | 5.2847          | 1.0 |
| 4.1667        | 12.5  | 1600 | 5.2349          | 1.0 |
| 4.1471        | 14.06 | 1800 | 5.2850          | 1.0 |
| 4.1268        | 15.62 | 2000 | 5.2510          | 1.0 |
| 4.1701        | 17.19 | 2200 | 5.2605          | 1.0 |
| 4.1459        | 18.75 | 2400 | 5.2493          | 1.0 |
| 4.1411        | 20.31 | 2600 | 5.2649          | 1.0 |
| 4.1351        | 21.88 | 2800 | 5.2541          | 1.0 |
| 4.1442        | 23.44 | 3000 | 5.2459          | 1.0 |
| 4.1805        | 25.0  | 3200 | 5.2232          | 1.0 |
| 4.1262        | 26.56 | 3400 | 5.2384          | 1.0 |
| 4.145         | 28.12 | 3600 | 5.2522          | 1.0 |
| 4.142         | 29.69 | 3800 | 5.2459          | 1.0 |


### Framework versions

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