fine-tuned-DatasetQAS-Squad-ID-with-xlm-roberta-large-with-ITTL-without-freeze-LR-1e-05

This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3952
• Exact Match: 53.5849
• F1: 70.1108

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 128
• total_train_batch_size: 128
• 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	Exact Match	F1
1.5149	0.5	463	1.4114	49.7520	66.7072
1.3892	1.0	926	1.3334	51.5760	68.8310
1.269	1.5	1389	1.2838	52.9041	69.2814
1.1755	2.0	1852	1.2739	52.9209	69.1687
1.0808	2.5	2315	1.2794	53.4252	70.0163
1.1013	3.0	2778	1.2553	53.6438	70.3143
0.9592	3.5	3241	1.3231	53.9800	69.7364
0.9566	4.0	3704	1.3054	54.2153	70.0216
0.8603	4.49	4167	1.3952	53.5849	70.1108

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu117
• Datasets 2.2.0
• Tokenizers 0.13.2