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whisper_romanian3 – AI Model by Artanis1551 | AlphaNeural AI
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whisper_romanian3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ro
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Romanian
This model is a fine-tuned version of
openai/whisper-small
on the Romanian voice 1.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3430
Wer: 42.2181
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: 0.0001
train_batch_size: 8
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: 250
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.396
0.9
1000
0.5565
88.6587
0.187
1.8
2000
0.4436
53.4841
0.0744
2.7
3000
0.3862
53.7279
0.0222
3.6
4000
0.3430
42.2181
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.6.1
Tokenizers 0.15.0
