QA_distell

This model is a fine-tuned version of StaAhmed/my_awesome_qa_model on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2595

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: 32
• eval_batch_size: 32
• 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	14	0.8443
No log	2.0	28	0.6154
No log	3.0	42	0.4697
No log	4.0	56	0.3838
No log	5.0	70	0.3297
No log	6.0	84	0.3364
No log	7.0	98	0.2711
No log	8.0	112	0.3240
No log	9.0	126	0.2634
No log	10.0	140	0.2826
No log	11.0	154	0.2721
No log	12.0	168	0.2595

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2