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whisper-small_finetuned_sw_chich – AI Model by dmatekenya | AlphaNeural AI
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whisper-small_finetuned_sw_chich
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small_finetuned_sw_chich
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7430
Wer: 80.1992
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0324
4.39
500
1.5624
84.6754
0.0151
8.77
1000
1.6639
82.4073
0.0099
13.16
1500
1.7377
78.8912
0.0081
17.54
2000
1.7430
80.1992
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
