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# wav2vec2-large-mms-1b-vi-colab

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_6_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0469
- Wer: 1.0186

## 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: 0.001
- train_batch_size: 12
- 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: 100
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.9124        | 2.78  | 100  | 6.0469          | 1.0186 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_6_1"], "metrics": ["wer"], "base_model": "facebook/mms-1b-all", "model-index": [{"name": "wav2vec2-large-mms-1b-vi-colab", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_6_1", "type": "common_voice_6_1", "config": "vi", "split": "test", "args": "vi"}, "metrics": [{"type": "wer", "value": 1.018646408839779, "name": "Wer"}]}]}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer dataset:common_voice_6_1 base_model:facebook/mms-1b-all license:cc-by-nc-4.0 model-index endpoints_compatible region:us