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roberta-base-answerable-or-not-augmented – AI Model by leomaurodesenv | AlphaNeural AI
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leomaurodesenv
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roberta-base-answerable-or-not-augmented
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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roberta-base-answerable-or-not-augmented
This model is a fine-tuned version of
FacebookAI/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2822
Accuracy: 0.9221
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 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_steps: 50
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5496
1.0
1367
0.2991
0.8807
0.3778
2.0
2734
0.3119
0.9074
0.3366
3.0
4101
0.2831
0.9217
0.1348
4.0
5468
0.3764
0.9276
0.0008
5.0
6835
0.3081
0.9341
0.1115
6.0
8202
0.3296
0.9345
Framework versions
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
