model

This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	2	1.5204
No log	2.0	4	0.1924
No log	3.0	6	0.0326
No log	4.0	8	0.0087
No log	5.0	10	0.0034
No log	6.0	12	0.0017
No log	7.0	14	0.0009
No log	8.0	16	0.0005
No log	9.0	18	0.0002
No log	10.0	20	0.0001
No log	11.0	22	0.0001
No log	12.0	24	0.0000
No log	13.0	26	0.0000
No log	14.0	28	0.0000
No log	15.0	30	0.0000
No log	16.0	32	0.0000
No log	17.0	34	0.0000
No log	18.0	36	0.0000
No log	19.0	38	0.0000
No log	20.0	40	0.0000

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1