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roberta-base-pan-clef-subtask2 – AI Model by omarwaleed523 | AlphaNeural AI
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omarwaleed523
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roberta-base-pan-clef-subtask2
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-pan-clef-subtask2
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.4936
Micro F1: 0.5654
Macro F1: 0.6413
Macro Recall: 0.7827
Accuracy: 0.5654
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Micro F1
Macro F1
Macro Recall
Accuracy
0.1032
1.0
4515
3.0365
0.5613
0.6005
0.7793
0.5613
0.0501
1.9997
9028
3.4936
0.5654
0.6413
0.7827
0.5654
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
