xlm-roberta-base-finetuned-lener_br

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

• Loss: 0.9094

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
1.545	1.0	2079	1.4107
1.4708	2.0	4158	1.3126
1.322	3.0	6237	1.1943
1.1986	4.0	8316	1.1581
1.1316	5.0	10395	1.1156
1.0824	6.0	12474	1.0400
1.0435	7.0	14553	1.0276
0.9824	8.0	16632	1.0119
0.9289	9.0	18711	nan
0.9123	10.0	20790	0.9945
0.8591	11.0	22869	nan
0.8411	12.0	24948	0.9413
0.8376	13.0	27027	0.9411
0.7868	14.0	29106	0.9228
0.8012	15.0	31185	0.9449

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1