mdt-ie-re-entity-pair – AI Model by OSainz | AlphaNeural AI

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OSainz/
mdt-ie-re-entity-pair

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FacebookAI/xlm-roberta-base

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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: 0.3272
Precision: 0.5560
Recall: 0.3209
F1: 0.4069

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.7083	0.35	500	0.4423	0.2785	0.0529	0.0889
0.4849	0.7	1000	0.4009	0.3623	0.1803	0.2408
0.4021	1.04	1500	0.3621	0.5027	0.2212	0.3072
0.3276	1.39	2000	0.3606	0.4006	0.3077	0.3481
0.2857	1.74	2500	0.3432	0.5073	0.25	0.3349
0.251	2.09	3000	0.3481	0.4431	0.3413	0.3856
0.2184	2.43	3500	0.3309	0.5274	0.3353	0.4100
0.2162	2.78	4000	0.3411	0.4167	0.3726	0.3934

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2