XLM_Lexical_CITA_15k – AI Model by phunganhsang | AlphaNeural AI

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phunganhsang/
XLM_Lexical_CITA_15k

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FacebookAI/xlm-roberta-base

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XLM_Lexical_CITA_15k

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

Loss: 0.5557
Accuracy: 0.8093
F1: 0.8034

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.557	1.0	375	0.4996	0.7807	0.7648
0.4775	2.0	750	0.4805	0.793	0.7770
0.4323	3.0	1125	0.4718	0.7993	0.7821
0.3898	4.0	1500	0.4642	0.8	0.7818
0.3523	5.0	1875	0.4663	0.8047	0.7995
0.3214	6.0	2250	0.5082	0.8133	0.8085
0.2928	7.0	2625	0.5124	0.8103	0.8039
0.2685	8.0	3000	0.5304	0.8137	0.8081
0.2479	9.0	3375	0.5597	0.8077	0.8033
0.2391	10.0	3750	0.5557	0.8093	0.8034

Framework versions

Transformers 4.48.0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.21.0