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whisper-base-tamil – AI Model by mahimairaja | AlphaNeural AI
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mahimairaja
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whisper-base-tamil
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
ta
mozilla-foundation/common_voice_13_0
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-base-tamil
This model is a fine-tuned version of
openai/whisper-base
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.6483
Wer Ortho: 72.2910
Wer: 28.2243
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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.003
20.0
500
0.6483
72.2910
28.2243
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.14.0
Tokenizers 0.13.3
