results

This model is a fine-tuned version of Rajneel18/results on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0810
• Accuracy: 0.9917

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0	0.9333	7	0.0894	0.9917
0.0	2.0	15	0.0791	0.9917
0.0	2.9333	22	0.0791	0.9917
0.0	3.7333	28	0.0810	0.9917

Framework versions

• Transformers 4.46.3
• Pytorch 1.13.1+cu117
• Datasets 3.1.0
• Tokenizers 0.20.3