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whisper-small-protv-17-ro-music2text – AI Model by VMadalina | AlphaNeural AI
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VMadalina
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whisper-small-protv-17-ro-music2text
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pytorch
tensorboard
whisper
hf-asr-leaderboard
generated_from_trainer
ro
openai/whisper-small
finetune
apache-2.0
us
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Whisper Small Ro - VM2
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: 1.0851
Wer: 49.7884
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: 150
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0708
3.69
1000
0.9014
58.9196
0.0083
7.38
2000
1.0053
57.8963
0.0027
11.07
3000
1.0591
49.7688
0.001
14.76
4000
1.0851
49.7884
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
