roberta-base-disaster-tweet-jailbreaking-augmented – AI Model by leomaurodesenv | AlphaNeural AI

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leomaurodesenv/
roberta-base-disaster-tweet-jailbreaking-augmented

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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roberta-base-disaster-tweet-jailbreaking-augmented

This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1776
Accuracy: 0.9717

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_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6028	1.0	1680	0.5656	0.7125
0.4653	2.0	3360	0.4785	0.8196
0.4870	3.0	5040	0.3783	0.8982
0.0446	4.0	6720	0.3292	0.9318
0.1025	5.0	8400	0.2381	0.9565
0.0945	6.0	10080	0.2062	0.9670
0.0005	7.0	11760	0.1778	0.9717
0.0009	8.0	13440	0.1945	0.9723
0.0002	9.0	15120	0.1848	0.9759
0.0001	10.0	16800	0.1804	0.9765

Framework versions

Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2