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hybrid_lexical_hosting_domain_cat_meta – AI Model by phunganhsang | AlphaNeural AI
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hybrid_lexical_hosting_domain_cat_meta
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transformers
safetensors
roberta
generated_from_trainer
gechim/metadata-cls_15_10
finetune
agpl-3.0
endpoints_compatible
us
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hybrid_lexical_hosting_domain_cat_meta
This model is a fine-tuned version of
gechim/metadata-cls_15_10
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1718
Accuracy: 0.8781
F1: 0.8779
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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2445
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.2759
1.0
978
0.2220
0.8282
0.8276
0.2018
2.0
1956
0.1849
0.8708
0.8706
0.1773
3.0
2934
0.1718
0.8781
0.8779
Framework versions
Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.22.1
