distilbert-base-uncased-distilled-squad-finetuned-squad

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

• Loss: 0.0353

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	84	0.0302
No log	2.0	168	0.0385
No log	3.0	252	0.0338
No log	4.0	336	0.0369
No log	5.0	420	0.0353
0.011	6.0	504	0.0399
0.011	7.0	588	0.0383
0.011	8.0	672	0.0343
0.011	9.0	756	0.0359
0.011	10.0	840	0.0360
0.011	11.0	924	0.0353
0.0001	12.0	1008	0.0353

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1