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luke-base – AI Model by TheNewPing | AlphaNeural AI
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TheNewPing
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luke-base
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transformers
safetensors
luke
multiple-choice
generated_from_trainer
studio-ousia/luke-base
finetune
apache-2.0
endpoints_compatible
us
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luke-base
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: 0.3638
Accuracy: 0.8492
Precision: 0.8536
Recall: 0.8429
F1: 0.8482
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: 1e-05
train_batch_size: 32
eval_batch_size: 32
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
Precision
Recall
F1
0.4523
1.0
1074
0.4276
0.8191
0.8383
0.7908
0.8139
0.3397
2.0
2148
0.3576
0.8472
0.8528
0.8393
0.8460
0.2865
3.0
3222
0.3638
0.8492
0.8536
0.8429
0.8482
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
