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fine-tuned-roberta-large-swag – AI Model by amritpuhan | AlphaNeural AI
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fine-tuned-roberta-large-swag
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transformers
safetensors
roberta
multiple-choice
generated_from_trainer
swag
FacebookAI/roberta-large
finetune
mit
endpoints_compatible
us
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fine-tuned-roberta-large-swag
This model is a fine-tuned version of
FacebookAI/roberta-large
on the swag dataset. It achieves the following results on the evaluation set:
Loss: 0.5723
Accuracy: 0.8876
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: 1.5e-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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6007
1.0
4597
0.3438
0.8695
0.3897
2.0
9194
0.3190
0.8824
0.2257
3.0
13791
0.3866
0.8862
0.1238
4.0
18388
0.5723
0.8876
Framework versions
Transformers 4.41.2
Pytorch 1.11.0
Datasets 2.19.1
Tokenizers 0.19.1
