metadata

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: []

wav2vec2-mms-1b-l1107-mus-asr-10m

This model is a fine-tuned version of facebook/mms-1b-l1107 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4292
Wer: 0.7031
Cer: 0.1778

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_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
6.5188	3.7037	100	2.4292	0.7031	0.1778

Framework versions

Transformers 4.40.2
Pytorch 1.10.1
Datasets 2.19.1
Tokenizers 0.19.1