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whisper_medium_newds – AI Model by PThi35 | AlphaNeural AI
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whisper_medium_newds
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safetensors
whisper
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
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whisper_medium_newds
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: 0.6611
Cer: 19.0911
Wer: 30.7521
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
Wer
1.4986
1.0
2598
0.7039
22.7752
36.6440
0.7329
2.0
5196
0.6673
19.6293
31.8468
0.6202
3.0
7794
0.6611
19.0911
30.7521
Framework versions
Transformers 4.41.2
Pytorch 2.1.2+cu118
Datasets 2.19.0
Tokenizers 0.19.1
