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whisper-tiny-minds14-en – AI Model by BinhMinhs10 | 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: 0.8739
Wer: 0.320790
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: 3e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0001
125.0
500
0.8046
30.4133
0.0001
250.0
1000
0.8565
31.8322
0.0001
375.0
1500
0.8739
32.0790
Framework versions
Transformers 4.40.2
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1
