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whisper-small-as-500-64-1e-05-bn – AI Model by kpriyanshu256 | AlphaNeural AI
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whisper-small-as-500-64-1e-05-bn
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
as
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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openai/whisper-small-Assamese
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: 1.3386
Wer: 61.7578
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
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3132
0.3
150
1.4029
161.4149
0.1888
1.08
300
1.3000
61.7217
0.1358
1.38
450
1.3386
61.7578
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
