my_awesome_reclor_model_test

This model is a fine-tuned version of bert-base-uncased on the reclor dataset. It achieves the following results on the evaluation set:

• Loss: 1.4745
• Accuracy: 0.486

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
No log	1.0	290	1.2555	0.422
1.2285	2.0	580	1.2556	0.48
1.2285	3.0	870	1.4745	0.486

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1
• Datasets 2.10.0
• Tokenizers 0.13.2