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whisper-dev – AI Model by Devanshj7 | AlphaNeural AI | AlphaNeural AI
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whisper-dev
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-dev
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9716
Wer: 68.6047
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.039
4.0
200
0.7402
70.9302
0.002
8.0
400
0.8662
62.7907
0.0003
12.0
600
0.9329
66.2791
0.0002
16.0
800
0.9613
68.6047
0.0002
20.0
1000
0.9716
68.6047
Framework versions
Transformers 4.39.2
Pytorch 2.2.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
