xlm-roberta-large-en-si-only-finetuned-sinquad-v12

This model is a fine-tuned version of 9wimu9/xlm-roberta-large-en-si-only on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7128

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.612	1.0	93	0.8081
0.7979	2.0	186	0.6823
0.6887	3.0	279	0.6532
0.4166	4.0	372	0.6846
0.3985	5.0	465	0.7128

Framework versions

• Transformers 4.30.0.dev0
• Pytorch 1.12.1+cu116
• Datasets 2.6.1
• Tokenizers 0.12.1

{'exact_match': 69.58841463414635, 'f1': 87.9274817360267}