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whisper-medium.en – AI Model by crossdelenna | AlphaNeural AI
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crossdelenna
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whisper-medium.en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
crossdelenna/whisper-medium.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium.en
This model is a fine-tuned version of
crossdelenna/whisper-medium.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0261
Wer: 2.4421
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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 800
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0446
0.3872
400
0.0520
4.2961
0.0387
0.7744
800
0.0261
2.4421
Framework versions
Transformers 4.43.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
