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speechx-large-kannada – AI Model by kuladeep2112 | AlphaNeural AI
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kuladeep2112
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speechx-large-kannada
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
kuladeep2112/speechx-large-kannada
finetune
apache-2.0
endpoints_compatible
us
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speechx-large-kannada
This model is a fine-tuned version of
kuladeep2112/speechx-large-kannada
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2878
Wer: 57.8329
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: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0844
1.0
1000
0.2878
57.8329
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
