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horoscope_model_base – AI Model by iulik-pisik | AlphaNeural AI
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horoscope_model_base
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ro
iulik-pisik/horoscop_neti
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
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Whisper Base Romanian - Horoscop Neti
This model is a fine-tuned version of
openai/whisper-base
on the Horoscop Neti dataset. It achieves the following results on the evaluation set:
Loss: 0.3282
Wer: 17.0358
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0142
9.71
1000
0.2707
18.0336
0.0012
19.42
2000
0.3073
17.0601
0.0007
29.13
3000
0.3225
17.0114
0.0005
38.83
4000
0.3282
17.0358
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
