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whisper-try1 – AI Model by riteshkr | AlphaNeural AI
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riteshkr
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whisper-try1
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tensorboard
safetensors
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
us
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whisper-try1
This model is a fine-tuned version of
openai/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4609
Wer: 0.4140
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: 1
eval_batch_size: 64
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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0744
14.2857
200
1.2271
0.3814
0.0251
28.5714
400
1.2939
0.3907
0.0088
42.8571
600
1.3904
0.4047
0.004
57.1429
800
1.4430
0.4140
0.0031
71.4286
1000
1.4609
0.4140
Framework versions
Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
