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whisper-small-RESEARCH – AI Model by csb05 | AlphaNeural AI
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whisper-small-RESEARCH
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
tl
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper small tl - CSB05
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8685
Wer: 24.4015
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0158
8.9286
1000
0.6826
24.1285
0.0019
17.8571
2000
0.7977
24.7795
0.0003
26.7857
3000
0.8517
24.4645
0.0002
35.7143
4000
0.8685
24.4015
Framework versions
Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1
