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Whisper-Anuj-small-Tamil – AI Model by Anujgr8 | AlphaNeural AI
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Whisper-Anuj-small-Tamil
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper-Anuj-small-Tamil
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: 0.1454
Wer: 44.0964
Cer: 9.0478
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: 16
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: 500
training_steps: 1800
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.1086
3.0
600
0.1286
60.0
19.7609
0.0132
6.0
1200
0.1274
45.6225
9.3391
0.001
9.0
1800
0.1454
44.0964
9.0478
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
