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whisper-tiny-minds14 – AI Model by opria123 | AlphaNeural AI
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opria123
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whisper-tiny-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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opria123/whisper-tiny-minds14-finetuned
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: 0.8674
Wer: 0.3344
Wer Ortho: 0.3270
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: 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
Wer Ortho
0.0005
34.4912
1000
0.7591
0.3368
0.3245
0.0001
68.9825
2000
0.8217
0.3307
0.3202
0.0001
103.4561
3000
0.8547
0.3325
0.3239
0.0001
137.9474
4000
0.8674
0.3344
0.3270
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.1
Tokenizers 0.21.1
