multi_task_model_content_freeze_encoder_2048_8_v2 – AI Model by phunganhsang | AlphaNeural AI

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multi_task_model_content_freeze_encoder_2048_8_v2

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RonTon05/model_content_V2_test

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multi_task_model_content_freeze_encoder_2048_8_v2

This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6475
Accuracy: 0.8393
F1: 0.7943

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.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
0.8455	1.0	330	0.5639	0.8173	0.6339
0.4627	2.0	660	0.4889	0.8336	0.8008
0.3243	3.0	990	0.4974	0.8462	0.8006
0.2389	4.0	1320	0.4918	0.8517	0.8113
0.1751	5.0	1650	0.5684	0.8458	0.7990
0.1284	6.0	1980	0.6475	0.8393	0.7943

Framework versions

Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.22.1