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results_roberta_optimized – AI Model by Aleen13 | AlphaNeural AI
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results_roberta_optimized
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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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results_roberta_optimized
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1968
F1: 0.4438
Roc Auc: 0.8923
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: 16
eval_batch_size: 16
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_ratio: 0.1
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Roc Auc
0.2024
1.0
2614
0.1948
0.4035
0.8869
0.186
2.0
5228
0.1926
0.4326
0.8914
0.1772
3.0
7842
0.1943
0.4420
0.8939
0.1613
4.0
10456
0.1968
0.4438
0.8923
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
