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medium_cross.en – AI Model by crossdelenna | AlphaNeural AI
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crossdelenna
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medium_cross.en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
crossdelenna/medium_cross.en
finetune
apache-2.0
endpoints_compatible
us
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medium_cross.en
This model is a fine-tuned version of
crossdelenna/medium_cross.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3034
Wer: 15.1384
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: 22
eval_batch_size: 22
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: 10
training_steps: 1051
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.664
1.2411
350
0.3998
18.2094
0.4625
2.4823
700
0.3244
16.0633
0.3703
3.7234
1050
0.3034
15.1384
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
