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article-topic-classifier – AI Model by bagdarik | AlphaNeural AI
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article-topic-classifier
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transformers
safetensors
generated_from_trainer
allenai/scibert_scivocab_uncased
finetune
endpoints_compatible
us
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article-topic-classifier
This model is a fine-tuned version of
allenai/scibert_scivocab_uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7884
Accuracy: 0.8856
F1 Weighted: 0.8859
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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Weighted
1.8435
1.0
1775
0.8377
0.8648
0.8634
1.6107
2.0
3550
0.7884
0.8856
0.8859
1.4681
3.0
5325
0.7884
0.8864
0.8854
1.3955
4.0
7100
0.7851
0.886
0.8856
Framework versions
Transformers 5.12.1
Pytorch 2.11.0
Datasets 5.0.0
Tokenizers 0.22.2
