distilbert-base-uncased-finetuned-squad-finetuned-thread

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

• Loss: 2.4546

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-06
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
4.219	0.6	100	2.7337
3.3141	1.19	200	2.5648
3.1199	1.79	300	2.4972
3.1278	2.38	400	2.4569
2.9679	2.98	500	2.4546

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3