fine-tuning_BARTPho – AI Model by takanami12 | AlphaNeural AI

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takanami12/
fine-tuning_BARTPho

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text-generation

generated_from_trainer

vinai/bartpho-word

autotrain_compatible

endpoints_compatible

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fine-tuning_BARTPho

This model is a fine-tuned version of vinai/bartpho-word on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1876
Accuracy: 0.014
F1: 0.0011

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: 16
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
3.7202	1.0	125	1.3840	0.016	0.0018
1.3287	2.0	250	1.2517	0.014	0.0011
1.2451	3.0	375	1.2197	0.016	0.0015
1.2059	4.0	500	1.2077	0.014	0.0011
1.105	5.0	625	1.2053	0.014	0.0011
1.1054	6.0	750	1.1893	0.018	0.0015
1.1207	7.0	875	1.1881	0.022	0.0045
1.1011	8.0	1000	1.1857	0.016	0.0025
1.0578	9.0	1125	1.1877	0.016	0.0031
1.0836	10.0	1250	1.1876	0.014	0.0011

Framework versions

Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3