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asr_model – AI Model by kojo-george | AlphaNeural AI

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kojo-george/
asr_model

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automatic-speech-recognition

generated_from_trainer

facebook/mms-1b-all

endpoints_compatible

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asr_model

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

eval_loss: 1.3621
eval_wer: 0.3900
eval_runtime: 58.7393
eval_samples_per_second: 4.75
eval_steps_per_second: 0.596
epoch: 0.895
step: 1790

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: 2
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: 2000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1