pogny_5_128_0.01 – AI Model by bella05 | AlphaNeural AI

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bella05/
pogny_5_128_0.01

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text-classification

generated_from_trainer

klue/roberta-large

autotrain_compatible

endpoints_compatible

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pogny_5_128_0.01

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

Loss: 1.6856
Accuracy: 0.4376
F1: 0.2665

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: 0.01
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.3955	1.0	603	1.8993	0.4376	0.2665
2.1177	2.0	1206	2.1650	0.4376	0.2665
2.0063	3.0	1809	2.1854	0.4376	0.2665
1.8805	4.0	2412	1.8213	0.4376	0.2665
1.7214	5.0	3015	1.6856	0.4376	0.2665

Framework versions

Transformers 4.41.0
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.19.1