SOMD-xlm-stage1-v1 – AI Model by ThuyNT03 | AlphaNeural AI

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ThuyNT03/
SOMD-xlm-stage1-v1

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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SOMD-xlm-stage1-v1

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: 0.0000
F1: 0.9998

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
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	F1
No log	1.0	1243	0.0031	0.8337
No log	2.0	2486	0.0035	0.8327
No log	3.0	3729	0.0008	0.9535
No log	4.0	4972	0.0010	0.9555
No log	5.0	6215	0.0002	0.9854
No log	6.0	7458	0.0002	0.9886
No log	7.0	8701	0.0001	0.9926
No log	8.0	9944	0.0003	0.9836
No log	9.0	11187	0.0000	0.9963
No log	10.0	12430	0.0000	0.9983
No log	11.0	13673	0.0000	0.9978
No log	12.0	14916	0.0000	0.9995
No log	13.0	16159	0.0000	0.9994
No log	14.0	17402	0.0000	0.9997
No log	15.0	18645	0.0000	0.9998

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1