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hf_output – AI Model by akashmaggon | AlphaNeural AI
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akashmaggon
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hf_output
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pytorch
whisper
generated_from_trainer
apache-2.0
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hf_output
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6461
Wer: 275.0702
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 25
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.8068
0.34
50
0.7185
270.6421
0.6853
0.68
100
0.6461
275.0702
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.16.1
Tokenizers 0.13.3
