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roberta_base_pu_42 – AI Model by marzieh-maleki | AlphaNeural AI
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marzieh-maleki
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roberta_base_pu_42
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
endpoints_compatible
us
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roberta_base_pu_42
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6476
Accuracy: 0.6364
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: 8
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
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6273
1.0
11085
0.6356
0.6230
0.5962
2.0
22170
0.6476
0.6364
Framework versions
Transformers 4.56.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0
