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luke-base-finetuned-enem – AI Model by Naiate | AlphaNeural AI
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luke-base-finetuned-enem
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transformers
tensorboard
safetensors
luke
multiple-choice
generated_from_trainer
studio-ousia/luke-base
finetune
apache-2.0
endpoints_compatible
us
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luke-base-finetuned-enem
This model is a fine-tuned version of
studio-ousia/luke-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6094
Accuracy: 0.2058
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
467
1.6094
0.2133
1.6184
2.0
934
1.6094
0.1854
1.6148
3.0
1401
1.6094
0.2058
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1
