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whisper_base_ro_VladS_02_08_24_1000_steps – AI Model by VladS159 | AlphaNeural AI
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whisper_base_ro_VladS_02_08_24_1000_steps
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ro
mozilla-foundation/common_voice_16_1
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Ro - Sarbu Vlad
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
Loss: 0.1954
Wer: 75.4329
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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1037
1.31
1000
0.1954
75.4329
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
