QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base

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

• Loss: 13.6582

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
0.018	1.0	19000	13.0396
0.0481	2.0	38000	10.5261
0.032	3.0	57000	10.4920
0.0025	4.0	76000	12.6251
0.0005	5.0	95000	12.7548
0.0	6.0	114000	12.1423
0.0	7.0	133000	11.4364
0.0044	8.0	152000	11.7476
0.0	9.0	171000	13.3022
0.0	10.0	190000	13.6582

Framework versions

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