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whisper-finetuned-atcosim – AI Model by bhattasp | AlphaNeural AI
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bhattasp
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whisper-finetuned-atcosim
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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bhattasp/whisper-finetuned-atcosim
This model is a fine-tuned version of
openai/whisper-tiny
on the Atcosim dataset. It achieves the following results on the evaluation set:
Loss: 0.0786
Wer: 3.5200
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1819
1.0
478
0.1961
11.3373
0.0533
2.0
956
0.0933
4.2664
0.0168
3.0
1434
0.0814
3.5818
0.0094
4.0
1912
0.0788
3.5598
0.0025
5.0
2390
0.0786
3.5200
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
