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inductiv-binary-classifier – Dataset by tarashagarwal | AlphaNeural AI
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inductiv-binary-classifier
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0331
1.0
574
0.0000
0.0001
2.0
1148
0.0000
Framework versions
Transformers 4.44.2
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.19.1
