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wav2vec2-mms-300m-ikk-2 – AI Model by ogbi | AlphaNeural AI
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wav2vec2-mms-300m-ikk-2
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
audiofolder
facebook/mms-300m
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
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wav2vec2-mms-300m-ikk-2
This model is a fine-tuned version of
facebook/mms-300m
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 1.3401
Wer: 0.6359
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.4215
16.33
400
1.3401
0.6359
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
