multiple_choice_model

This model is a fine-tuned version of Liberty-L/multiple_choice_model on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3842
• Accuracy: 0.3084

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-08
• train_batch_size: 5
• eval_batch_size: 5
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 20
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3881	1.0	786	1.3844	0.3079
1.389	2.0	1572	1.3843	0.3073
1.3897	3.0	2358	1.3842	0.3084

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0