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model – AI Model by hts98 | AlphaNeural AI
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hts98
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transformers
pytorch
jax
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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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:
Loss: 0.3198
Wer: 100.0
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: 12
eval_batch_size: 12
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: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1889
1.43
30
0.2595
100.0
0.067
2.86
60
0.2960
100.0
0.0319
4.29
90
0.3027
100.0
0.0171
5.71
120
0.3166
100.0
0.0067
7.14
150
0.3214
100.0
0.0028
8.57
180
0.3198
100.0
Framework versions
Transformers 4.29.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.7.0
Tokenizers 0.13.3
