KLTN_CSI_COQE_total_v2 – AI Model by ThuyNT03 | AlphaNeural AI

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ThuyNT03/
KLTN_CSI_COQE_total_v2

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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KLTN_CSI_COQE_total_v2

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1796

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: 16
eval_batch_size: 64
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
No log	1.0	308	0.2267
0.2506	1.99	616	0.2477
0.2506	2.99	924	0.2202
0.2314	3.99	1232	0.2421
0.2221	4.98	1540	0.2145
0.2221	5.98	1848	0.2034
0.2205	6.98	2156	0.1953
0.2205	7.97	2464	0.1864
0.2186	8.97	2772	0.1938
0.2065	9.97	3080	0.1961
0.2065	10.96	3388	0.1790
0.2073	11.96	3696	0.1843
0.1997	12.96	4004	0.1839
0.1997	13.95	4312	0.1786
0.1973	14.95	4620	0.1796

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0