QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9623

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.8848	1.0	9137	0.8389
0.7753	2.0	18274	0.7794
0.7765	3.0	27411	0.8597
0.8242	4.0	36548	0.8571
0.6728	5.0	45685	0.9071
0.7219	6.0	54822	0.7628
0.6047	7.0	63959	0.9108
0.6137	8.0	73096	0.8685
0.5439	9.0	82233	0.8586
0.5387	10.0	91370	0.9623

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3