xlm-roberta-base-finetuned-newqa1

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: 2.2643

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: 16
• eval_batch_size: 16
• 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
No log	1.0	66	2.8604
No log	2.0	132	2.3332
No log	3.0	198	2.1159
No log	4.0	264	2.1174
No log	5.0	330	2.0671
No log	6.0	396	2.1269
No log	7.0	462	2.2361
2.2514	8.0	528	2.2171
2.2514	9.0	594	2.2304
2.2514	10.0	660	2.2643

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3