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output_model_Eubookshop_data_base_model_old – AI Model by Eimhin03 | AlphaNeural AI
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output_model_Eubookshop_data_base_model_old
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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output_model_Eubookshop_data_base_model
This model is a fine-tuned version of
openai/whisper-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1452
Wer: 9.8741
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: 0.0001
train_batch_size: 2
eval_batch_size: 4
seed: 42
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: 500
training_steps: 20000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3769
0.1652
5000
0.4123
23.9747
0.3673
0.3303
10000
0.2692
16.3406
0.2381
0.4955
15000
0.1896
12.0630
0.1612
0.6607
20000
0.1452
9.8741
Framework versions
Transformers 5.2.0.dev0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
