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roberta-base-bne-finetuned-new_or_used-title – AI Model by gonchisi | AlphaNeural AI
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roberta-base-bne-finetuned-new_or_used-title
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transformers
pytorch
roberta
text-classification
generated_from_trainer
BSC-LT/roberta-base-bne
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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roberta-base-bne-finetuned-new_or_used-title
This model is a fine-tuned version of
BSC-TeMU/roberta-base-bne
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3849
Accuracy: 0.8496
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.382
1.0
5000
0.3615
0.8435
0.2577
2.0
10000
0.3849
0.8496
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
