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roberta-large-finetuned-cosmos – AI Model by Benlitzen43 | AlphaNeural AI
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Benlitzen43
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roberta-large-finetuned-cosmos
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transformers
pytorch
roberta
multiple-choice
generated_from_trainer
cosmos_qa
FacebookAI/roberta-large
finetune
mit
endpoints_compatible
us
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roberta-large-finetuned-cosmos
This model is a fine-tuned version of
roberta-large
on the cosmos_qa dataset. It achieves the following results on the evaluation set:
Loss: 1.3863
Accuracy: 0.2533
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: 2
eval_batch_size: 2
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
1.39
1.0
12631
1.3863
0.2586
1.3956
2.0
25262
1.3863
0.2563
1.3902
3.0
37893
1.3863
0.2533
Framework versions
Transformers 4.32.1
Pytorch 2.1.1+cu121
Datasets 2.12.0
Tokenizers 0.13.2
