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# wav2vec2-base-sb-finetune

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: 0.7250
- Wer: 1.0447

## 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: 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_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.9267        | 1.0   | 5509  | 2.1995          | 1.0104 |
| 1.1658        | 2.0   | 11018 | 1.6611          | 1.0019 |
| 1.0677        | 3.0   | 16527 | 3.4168          | 1.0011 |
| 0.9178        | 4.0   | 22036 | 2.7527          | 0.9984 |
| 0.8173        | 5.0   | 27545 | 2.9731          | 0.9823 |
| 0.6865        | 6.0   | 33054 | 0.7295          | 1.0374 |
| 0.642         | 7.0   | 38563 | 0.6560          | 1.0276 |
| 0.601         | 8.0   | 44072 | 0.6625          | 1.0345 |
| 0.547         | 9.0   | 49581 | 0.6767          | 1.0306 |
| 0.5772        | 10.0  | 55090 | 0.7250          | 1.0447 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.1.0
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-sb-finetune", "results": []}]}
transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:facebook/wav2vec2-base license:apache-2.0 endpoints_compatible region:us