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whisper-medium-SIT_20_07_26_0257 – AI Model by horhh | AlphaNeural AI
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horhh
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whisper-medium-SIT_20_07_26_0257
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium-SIT_20_07_26_0257
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0618
Wer: 2.4520
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: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.2725
1.0
46
0.0754
4.3075
0.0995
2.0
92
0.0574
2.8496
0.0431
3.0
138
0.0583
3.1146
0.0184
4.0
184
0.0634
2.5845
0.0032
5.0
230
0.0618
2.4520
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 2.19.0
Tokenizers 0.22.2
