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whisper-tiny-en-minds14 – AI Model by Fasih779 | AlphaNeural AI
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whisper-tiny-en-minds14
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny-en-minds14
This model is a fine-tuned version of
openai/whisper-tiny
on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.5924
Wer Ortho: 0.3208
Wer: 0.3146
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0057
8.9286
250
0.5925
0.3208
0.3152
0.0006
17.8571
500
0.6590
0.3245
0.3264
Framework versions
Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 2.21.0
Tokenizers 0.22.2
