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dsc25-nextlevelv2-cafebert-v1 – AI Model by htNghiaaa | AlphaNeural AI
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htNghiaaa
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dsc25-nextlevelv2-cafebert-v1
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
uitnlp/CafeBERT
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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Model card
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cafebert-v1
This model is a fine-tuned version of
uitnlp/CafeBERT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0996
F1 Macro: 0.1619
F1 Weighted: 0.1559
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: 4
eval_batch_size: 8
seed: 42
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Macro
F1 Weighted
1.1133
1.0
1620
1.1003
0.1651
0.1630
1.1002
2.0
3240
1.0983
0.1728
0.1815
1.0967
3.0
4860
1.0986
0.1728
0.1815
1.1011
4.0
6480
1.0996
0.1619
0.1559
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.22.1
