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whisper-tiny-tamil-language – AI Model by Dineshkumars | AlphaNeural AI
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whisper-tiny-tamil-language
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transformers
pytorch
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ta
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Tamil Language
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.8516
Wer: 165.7107
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4891
0.17
250
0.9969
186.2744
0.4055
0.34
500
0.9090
181.1712
0.3845
0.51
750
0.8615
178.4639
0.3556
0.68
1000
0.8516
165.7107
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1