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wav2vec2-large-mms-1b-dzo-colab – AI Model by Norphel | AlphaNeural AI
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Norphel
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wav2vec2-large-mms-1b-dzo-colab
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/mms-1b-all
finetune
cc-by-nc-4.0
endpoints_compatible
us
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wav2vec2-large-mms-1b-dzo-colab
This model is a fine-tuned version of
facebook/mms-1b-all
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6441
Wer: 1.0
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.7493
7.6923
100
0.6441
1.0
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
