QA_model7-test

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: 6.2383

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: 1
• eval_batch_size: 11
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	4	6.2383
No log	2.0	8	6.2383
No log	3.0	12	6.2383
No log	4.0	16	6.2383
No log	5.0	20	6.2383
No log	6.0	24	6.2383
No log	7.0	28	6.2383
No log	8.0	32	6.2383
No log	9.0	36	6.2383
No log	10.0	40	6.2383
No log	11.0	44	6.2383
No log	12.0	48	6.2383
No log	13.0	52	6.2383
No log	14.0	56	6.2383
No log	15.0	60	6.2383
No log	16.0	64	6.2383
No log	17.0	68	6.2383
No log	18.0	72	6.2383
No log	19.0	76	6.2383
No log	20.0	80	6.2383

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1