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# wav2vec2-large-mms-1b-no_LSAH-SPGI-xs

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the spgispeech_xs dataset.

## 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: 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: 100
- training_steps: 120
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.0

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["spgispeech_xs"], "base_model": "facebook/mms-1b-all", "model-index": [{"name": "wav2vec2-large-mms-1b-no_LSAH-SPGI-xs", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Test set for spgispeech", "type": "kensho/spgispeech", "config": "test", "split": "test"}, "metrics": [{"type": "wer", "value": 20.81, "name": "WER"}, {"type": "cer", "value": 6.25, "name": "CER"}]}]}]}
transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer dataset:spgispeech_xs base_model:facebook/mms-1b-all license:cc-by-nc-4.0 model-index endpoints_compatible region:us