finetuned_raid_reviews – AI Model by charisgao | AlphaNeural AI

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charisgao/
finetuned_raid_reviews

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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fine_tuned_main_raid

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

Loss: 0.0711
Accuracy: 0.9843

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: 8
eval_batch_size: 8
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2533	0.0139	100	0.1743	0.9663
0.1848	0.0277	200	0.1058	0.9768
0.1832	0.0416	300	0.0924	0.9796
0.1199	0.0554	400	0.0854	0.9813
0.1294	0.0693	500	0.2504	0.9471
0.1755	0.0832	600	0.1885	0.9646
0.0831	0.0970	700	0.0831	0.9855
0.1051	0.1109	800	0.0711	0.9843
0.1411	0.1248	900	0.2770	0.9637
0.0761	0.1386	1000	0.0922	0.9835
0.1178	0.1525	1100	0.2174	0.9649

Framework versions

Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3