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ap-bBZIJa8YLMdgZR3gEFJ2NQ – AI Model by mdsingh2024 | AlphaNeural AI
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mdsingh2024
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ap-bBZIJa8YLMdgZR3gEFJ2NQ
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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ap-bBZIJa8YLMdgZR3gEFJ2NQ
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1961
Model Preparation Time: 0.0064
Wer: 0.3846
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
Wer
1.4751
1.0
1
2.1961
0.0064
0.3846
1.4751
2.0
2
2.1961
0.0064
0.3846
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.1
