NLP_A2

Homework model for NLP class (A2). It achieves the following results on the evaluation set:

• Loss: 0.3488
• Accuracy: 0.8840

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: 6e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.9988	419	0.3791	0.8706
0.1279	1.9976	838	0.3488	0.8840

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.19.1