distilbert-base-cased-distilled-squad-231123

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.5287

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	116	1.9383
No log	2.0	232	1.9901
No log	3.0	348	2.0780
No log	4.0	464	2.2501
1.4804	5.0	580	2.4190
1.4804	6.0	696	2.5925
1.4804	7.0	812	2.7649
1.4804	8.0	928	2.9029
0.5119	9.0	1044	3.0296
0.5119	10.0	1160	3.1669
0.5119	11.0	1276	3.3412
0.5119	12.0	1392	3.3165
0.2287	13.0	1508	3.4167
0.2287	14.0	1624	3.5039
0.2287	15.0	1740	3.5287

Framework versions

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