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whisper-tiny-ft-marathi-numbers – AI Model by sanchit-gandhi | AlphaNeural AI
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sanchit-gandhi
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whisper-tiny-ft-marathi-numbers
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transformers
pytorch
whisper
audio-classification
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-tiny-ft-marathi-numbers
This model is a fine-tuned version of
openai/whisper-tiny
on the
sanchit-gandhi/marathi-numbers-test
dataset. It achieves the following results on the evaluation set:
Loss: 0.0270
Accuracy: 1.0
You can reproduce this run by calling the script
run.sh
. Note that we use the
same
split for training and evaluation for demonstration purposes.
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0002
1.0
128
0.7066
0.9990
0.0895
2.0
256
0.0764
0.9990
0.0281
3.0
384
0.0270
1.0
0.0191
4.0
512
0.0186
1.0
0.017
5.0
640
0.0166
1.0
Framework versions
Transformers 4.28.0.dev0
Pytorch 2.1.0.dev20230308+cu118
Datasets 2.10.2.dev0
Tokenizers 0.13.2
