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whisper-small-hy – AI Model by yervandgaloyan | AlphaNeural AI
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whisper-small-hy
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
arrow
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-hy
This model is a fine-tuned version of
openai/whisper-small
on the arrow dataset. It achieves the following results on the evaluation set:
Loss: 0.2581
Wer: 40.8397
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: 16
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2078
1.77
1000
0.2089
45.6217
0.0948
3.54
2000
0.2087
41.2060
0.0453
5.31
3000
0.2385
40.9550
0.0315
7.08
4000
0.2581
40.8397
Framework versions
Transformers 4.26.1
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.13.3
