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whisper-tiny-minds14-en – AI Model by explorer7 | AlphaNeural AI
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whisper-tiny-minds14-en
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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-minds14-en
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: 0.6674
Wer: 0.3128
Wer Ortho: 0.3060
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: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Wer Ortho
0.0007
8.6207
250
0.6551
0.3196
0.3103
0.0004
17.2414
500
0.6674
0.3128
0.3060
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 2.19.0
Tokenizers 0.22.2
