multi_cased_L-24_H-128_B-512_A-4_F-4_OPT-finetuned-squad

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2855

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
4.3992	1.0	6264	2.9190
3.4521	2.0	12528	2.7861
3.2602	3.0	18792	2.5381
3.0534	4.0	25056	2.3501
2.9689	5.0	31320	2.2855

Framework versions

• Transformers 4.33.3
• Pytorch 2.1.1
• Datasets 2.14.5
• Tokenizers 0.13.3