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demo_model – AI Model by hts98 | AlphaNeural AI
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hts98
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demo_model
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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demo_model
This model is a fine-tuned version of
hts98/whisper-medium-1113
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5144
eval_wer: 100.0055
eval_runtime: 67.4062
eval_samples_per_second: 3.397
eval_steps_per_second: 0.341
epoch: 3.04
step: 280
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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 30
training_steps: 500
mixed_precision_training: Native AMP
Framework versions
Transformers 4.29.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.7.0
Tokenizers 0.13.3