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question_focus_model – AI Model by QuimBallester | AlphaNeural AI | AlphaNeural AI
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question_focus_model
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transformers
safetensors
roberta
text-classification
generated_from_trainer
PlanTL-GOB-ES/roberta-base-bne
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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question_focus_model
This model is a fine-tuned version of
PlanTL-GOB-ES/roberta-base-bne
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5105
Accuracy: 0.8
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 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7071
1.0
13
0.6947
0.52
0.7218
2.0
26
0.6797
0.64
0.6588
3.0
39
0.5430
0.72
0.1865
4.0
52
0.5481
0.8
0.0525
5.0
65
0.5105
0.8
Framework versions
Transformers 4.52.3
Pytorch 2.7.0
Datasets 3.6.0
Tokenizers 0.21.1
