distilbert-base-uncased-distilled-squad-coffee20230108

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: 4.3444

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: 5e-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
• lr_scheduler_warmup_steps: 500
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	89	1.9198
2.3879	2.0	178	1.8526
1.5528	3.0	267	1.8428
1.1473	4.0	356	2.4035
0.7375	5.0	445	2.3232
0.5986	6.0	534	2.4550
0.4252	7.0	623	3.2831
0.2612	8.0	712	3.2129
0.143	9.0	801	3.7849
0.143	10.0	890	3.8476
0.0984	11.0	979	4.1742
0.0581	12.0	1068	4.3476
0.0157	13.0	1157	4.3818
0.0131	14.0	1246	4.3357
0.0059	15.0	1335	4.3444

Framework versions

• Transformers 4.25.1
• Pytorch 1.11.0+cu113
• Datasets 2.8.0
• Tokenizers 0.13.2