LTER_goc_modernBert_ft – AI Model by AnhNam | AlphaNeural AI

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AnhNam/
LTER_goc_modernBert_ft

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text-classification

generated_from_trainer

AnhNam/Luong_modernBert_ft

autotrain_compatible

endpoints_compatible

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LTER_goc_modernBert_ft

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

Loss: 0.4084
F1: 0.8571

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-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.1646	1.0	14	0.5255	0.5578
0.1971	2.0	28	0.4755	0.7016
0.1588	3.0	42	0.4503	0.7823
0.0806	4.0	56	0.4234	0.8571
0.0221	5.0	70	0.4139	0.8571
0.0196	6.0	84	0.4086	0.8571
0.2718	6.5185	91	0.4084	0.8571

Framework versions

Transformers 4.48.2
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0