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whisper-large-v2-ne-NP-model-convergence-test – AI Model by DrishtiSharma | AlphaNeural AI
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DrishtiSharma
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whisper-large-v2-ne-NP-model-convergence-test
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
ne
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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Whisper Large V2 Nepali
This model is a fine-tuned version of
DrishtiSharma/whisper-large-v2-hi-1e-5-2.5k-steps-v1
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7447
Wer: 14.6341
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: 8
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: 100
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
200.0
200
0.7447
14.6341
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2
