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language_detector – AI Model by fitlemon | AlphaNeural AI
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fitlemon
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language_detector
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transformers
tensorboard
safetensors
whisper
audio-classification
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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language_detector
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: 0.2196
Accuracy: 0.9647
F1: 0.9644
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: 3e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.0
1.0
4000
0.2196
0.9647
0.9644
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.2
