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runs – AI Model by nataligzraryan | AlphaNeural AI

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nataligzraryan/
runs

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automatic-speech-recognition

generated_from_trainer

common_voice_16_0

facebook/mms-1b-all

endpoints_compatible

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runs

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_16_0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1684
eval_wer: 0.2476
eval_cer: 0.0432
eval_runtime: 449.8069
eval_samples_per_second: 5.985
eval_steps_per_second: 0.749
epoch: 10.26
step: 3000

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20

Framework versions

Transformers 4.37.2
Pytorch 2.1.1+cu121
Datasets 2.17.0
Tokenizers 0.15.2