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bengaliAI-finetuned-0-10000-50-percent-new – AI Model by Rounak28 | AlphaNeural AI
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Rounak28
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bengaliAI-finetuned-0-10000-50-percent-new
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
bn
bengaliAI-kaggle
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small fintuned-0-10000-50%
This model is a fine-tuned version of
openai/whisper-small
on the bengaliAI-kaggle dataset. It achieves the following results on the evaluation set:
Loss: 0.6193
Wer: 90.4418
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 200
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.8424
0.4
100
0.7538
103.2021
0.6195
0.8
200
0.6193
90.4418
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.14.4
Tokenizers 0.13.3