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bert_science_multiple_choice – AI Model by irfanamal | AlphaNeural AI
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irfanamal
/
bert_science_multiple_choice
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transformers
pytorch
bert
multiple-choice
generated_from_trainer
irfanamal/bert_multiple_choice
finetune
apache-2.0
endpoints_compatible
us
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bert_science_multiple_choice
This model is a fine-tuned version of
irfanamal/bert_multiple_choice
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3094
Accuracy: 0.45
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-06
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: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.3327
1.0
12
1.2548
0.45
1.2466
2.0
24
1.2430
0.45
1.2218
3.0
36
1.2652
0.45
1.074
4.0
48
1.2846
0.45
1.0906
5.0
60
1.2903
0.45
1.0141
6.0
72
1.3058
0.45
0.997
7.0
84
1.3094
0.45
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
