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whisper-small-en – AI Model by Kowshikpeddireddy | AlphaNeural AI
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whisper-small-en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-en
This model is a fine-tuned version of
openai/whisper-small.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1772
Wer: 64.9688
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.273
0.3593
1000
0.2057
72.5711
0.1877
0.7185
2000
0.1772
64.9688
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1
