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: wav2vec2-11
  results: []
---

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# wav2vec2-11

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: 3.0827
- 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: 0.0003
- train_batch_size: 24
- eval_batch_size: 6
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 4.2589        | 1.18  | 200  | 3.1595          | 1.0 |
| 2.8683        | 2.35  | 400  | 3.1270          | 1.0 |
| 2.8692        | 3.53  | 600  | 3.1041          | 1.0 |
| 2.8577        | 4.71  | 800  | 3.0804          | 1.0 |
| 2.8587        | 5.88  | 1000 | 3.0556          | 1.0 |
| 2.8615        | 7.06  | 1200 | 3.1084          | 1.0 |
| 2.8598        | 8.24  | 1400 | 3.0608          | 1.0 |
| 2.8571        | 9.41  | 1600 | 3.0997          | 1.0 |
| 2.8595        | 10.59 | 1800 | 3.1533          | 1.0 |
| 2.8568        | 11.76 | 2000 | 3.0621          | 1.0 |
| 2.8563        | 12.94 | 2200 | 3.1072          | 1.0 |
| 2.8556        | 14.12 | 2400 | 3.1299          | 1.0 |
| 2.8581        | 15.29 | 2600 | 3.0565          | 1.0 |
| 2.8534        | 16.47 | 2800 | 3.0821          | 1.0 |
| 2.857         | 17.65 | 3000 | 3.0734          | 1.0 |
| 2.8545        | 18.82 | 3200 | 3.1392          | 1.0 |
| 2.8568        | 20.0  | 3400 | 3.0541          | 1.0 |
| 2.8519        | 21.18 | 3600 | 3.0856          | 1.0 |
| 2.8542        | 22.35 | 3800 | 3.1477          | 1.0 |
| 2.8565        | 23.53 | 4000 | 3.0433          | 1.0 |
| 2.8525        | 24.71 | 4200 | 3.0826          | 1.0 |
| 2.8538        | 25.88 | 4400 | 3.0972          | 1.0 |
| 2.857         | 27.06 | 4600 | 3.0762          | 1.0 |
| 2.8523        | 28.24 | 4800 | 3.0828          | 1.0 |
| 2.8526        | 29.41 | 5000 | 3.0827          | 1.0 |


### Framework versions

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