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home_workstation_ASR – AI Model by SlothBot | AlphaNeural AI
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home_workstation_ASR
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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home_workstation_ASR
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: 0.3540
Wer Ortho: 20.1592
Wer: 15.1297
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: 32
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: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.232
0.9
1000
0.3209
21.7751
16.8164
0.1153
1.8
2000
0.3150
20.7647
15.7552
0.0653
2.7
3000
0.3327
20.2443
15.2927
0.032
3.6
4000
0.3540
20.1592
15.1297
Framework versions
Transformers 4.34.0
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.1
