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whisper_base_en_to_myst55h – AI Model by rishabhjain16 | AlphaNeural AI
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rishabhjain16
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whisper_base_en_to_myst55h
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
model-index
endpoints_compatible
us
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Model card
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openai/whisper-base.en
This model is a fine-tuned version of
openai/whisper-base.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6446
Wer: 16.4580
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: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3205
4.02
1000
0.4080
14.5116
0.1568
8.04
2000
0.4672
15.3758
0.035
13.01
3000
0.5696
15.9737
0.0087
17.02
4000
0.6242
15.7283
0.0065
21.04
5000
0.6446
16.4580
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.9.1.dev0
Tokenizers 0.13.2
