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medium – AI Model by ImanN1 | AlphaNeural AI
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ImanN1
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medium
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium.en
finetune
apache-2.0
endpoints_compatible
us
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medium
This model is a fine-tuned version of
openai/whisper-medium.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4547
Wer: 11.8776
Cer: 7.0531
Wer Normalized: 11.8782
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
Wer Normalized
0.7386
1.7544
500
0.3919
9.6967
5.7829
9.6942
0.3228
3.5088
1000
0.4447
10.0253
6.0106
10.0254
0.1196
5.2632
1500
0.5873
10.2440
6.1735
10.2441
Framework versions
Transformers 4.41.0
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
