SOMD-train-xlm-v3 – AI Model by ThuyNT03 | AlphaNeural AI

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ThuyNT03/
SOMD-train-xlm-v3

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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SOMD-train-xlm-v3

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: 25

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	1243	0.0060	0.6871
No log	2.0	2486	0.0041	0.7290
No log	3.0	3729	0.0035	0.8241
No log	4.0	4972	0.0019	0.8675
No log	5.0	6215	0.0009	0.9107
No log	6.0	7458	0.0009	0.9183
No log	7.0	8701	0.0005	0.9616
No log	8.0	9944	0.0005	0.9643
No log	9.0	11187	0.0003	0.9784
No log	10.0	12430	0.0004	0.9717
No log	11.0	13673	0.0003	0.9835
No log	12.0	14916	0.0002	0.9872
No log	13.0	16159	0.0001	0.9932
No log	14.0	17402	0.0014	0.9629
No log	15.0	18645	0.0001	0.9928
No log	16.0	19888	0.0001	0.9942
No log	17.0	21131	0.0000	0.9978
No log	18.0	22374	0.0000	0.9957
No log	19.0	23617	0.0000	0.9982
No log	20.0	24860	0.0000	0.9989
No log	21.0	26103	0.0000	0.9991
No log	22.0	27346	0.0000	0.9992
No log	23.0	28589	0.0000	0.9995
No log	24.0	29832	0.0000	0.9998
No log	25.0	31075	0.0000	0.9998

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1