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whisper-tiny-hindi3_test – AI Model by SamagraDataGov | AlphaNeural AI
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whisper-tiny-hindi3_test
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-hindi3_test
This model is a fine-tuned version of
openai/whisper-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4252
Wer: 52.6981
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: 3.75e-05
train_batch_size: 16
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 30
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.1072
0.2
20
0.8412
86.0034
0.6316
0.4
40
0.5764
66.9477
0.5548
0.6
60
0.5071
63.4064
0.5014
0.8
80
0.4606
55.3120
0.459
1.0
100
0.4252
52.6981
Framework versions
Transformers 4.41.1
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
