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whisper-small-atc0510 – AI Model by san2003m | AlphaNeural AI
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whisper-small-atc0510
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
Shiry/ATC_combined
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small ATC - ATCText
This model is a fine-tuned version of
openai/whisper-small
on the ATC dataset. It achieves the following results on the evaluation set:
Loss: 0.2696
Wer: 9.9247
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2728
0.84
1000
0.3054
13.2221
0.1259
1.69
2000
0.2615
10.4611
0.0558
2.53
3000
0.2588
9.9267
0.0316
3.38
4000
0.2690
9.8680
0.0136
4.22
5000
0.2696
9.9247
Framework versions
Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2
