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verbalex-hi – AI Model by RitchieP | AlphaNeural AI
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RitchieP
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verbalex-hi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
verba_lex_voice
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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verbalex-hi
This model is a fine-tuned version of
openai/whisper-small
on the verba_lex_voice dataset. It achieves the following results on the evaluation set:
Loss: 0.0554
Wer: 1.6019
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: 8
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
0.0011
5.0505
1000
0.0504
1.7762
0.0001
10.1010
2000
0.0529
1.6268
0.0001
15.1515
3000
0.0541
1.6434
0.0001
20.2020
4000
0.0550
1.6102
0.0
25.2525
5000
0.0554
1.6019
Framework versions
Transformers 4.40.2
Pytorch 2.1.2
Datasets 2.16.0
Tokenizers 0.19.1
