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whisper-tiny-finetuned-PolyAI-minds14 – AI Model by weiren119 | AlphaNeural AI
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whisper-tiny-finetuned-PolyAI-minds14
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transformers
pytorch
tensorboard
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-finetuned-PolyAI-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: 0.5406
Wer Ortho: 0.3365
Wer: 0.3320
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
training_steps: 200
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
1.7677
1.79
50
0.7819
0.3903
0.3540
0.316
3.57
100
0.5342
0.3412
0.3379
0.1445
5.36
150
0.5394
0.3506
0.3469
0.1059
7.14
200
0.5406
0.3365
0.3320
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.0
Tokenizers 0.13.3
