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distilroberta_optionsChoose – AI Model by ManuelPerdigo | AlphaNeural AI
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ManuelPerdigo
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transformers
pytorch
tensorboard
roberta
multiple-choice
generated_from_trainer
swag
distilbert/distilroberta-base
finetune
apache-2.0
endpoints_compatible
us
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distilroberta_optionsChoose
This model is a fine-tuned version of
distilroberta-base
on the swag dataset. It achieves the following results on the evaluation set:
Loss: 0.7727
Accuracy: 0.7381
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9344
1.0
4597
0.7569
0.6907
0.6714
2.0
9194
0.7102
0.7233
0.4522
3.0
13791
0.7727
0.7381
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
