---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-l1107
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-mms-1b-l1107-mus-asr-10m
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-mms-1b-l1107-mus-asr-10m

This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1048
- Wer: 0.5156
- Cer: 0.1267

## 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: 8
- 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: 0.4
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
| 6.1504        | 3.2222 | 87   | 2.3410          | 0.6562 | 0.1556 |
| 0.6961        | 6.4444 | 174  | 2.1048          | 0.5156 | 0.1267 |


### Framework versions

- Transformers 4.40.2
- Pytorch 1.10.1
- Datasets 2.19.1
- Tokenizers 0.19.1