flan_biomedidal_new

This model is a fine-tuned version of google/flan-t5-base on the sem_eval_2024_task_2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3376
• Accuracy: 0.585

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	58	0.3419	0.555
0.3766	2.0	116	0.3444	0.55
0.3766	3.0	174	0.3375	0.585
0.3679	4.0	232	0.3376	0.575
0.3679	5.0	290	0.3376	0.585

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0