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bokji_ex – Dataset by hyk000 | AlphaNeural AI
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bex_md
This model is a fine-tuned version of
openai/whisper-base
on the bex_ds dataset. It achieves the following results on the evaluation set:
Loss: 2.8168
Cer: 89.6513
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: 0.01
train_batch_size: 16
eval_batch_size: 8
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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
1.924
6.25
1000
2.8168
89.6513
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.0
Datasets 3.0.2
Tokenizers 0.20.1
