llama2-finetuned-squad

This model was trained from scratch on the squad dataset. It achieves the following results on the evaluation set:

• Loss: 1.2468

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.4238	1.0	2	1.2661
2.3387	2.0	4	1.2568
2.1817	3.0	6	1.2504
2.122	4.0	8	1.2467
2.1925	5.0	10	1.2468

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3