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WhispASR – AI Model by Rithik101 | AlphaNeural AI
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Rithik101
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WhispASR
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
hi
ai4bharat/kathbath
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Model card
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This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0775
Wer: 54.4629
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: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.4636
0.0255
10
1.0775
54.4629
Framework versions
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
