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whisper-tiny-en-seattle-finetuned_checkpoint_1 – AI Model by Yugratna | AlphaNeural AI
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Yugratna
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whisper-tiny-en-seattle-finetuned_checkpoint_1
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-en-seattle-finetuned_checkpoint_1
This model is a fine-tuned version of
openai/whisper-tiny.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9100
Wer: 0.1441
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: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 5
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.2794
3.3333
10
1.1519
0.1461
0.8663
6.6667
20
0.9646
0.1357
0.7255
10.0
30
0.9100
0.1441
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
