absolute-harmfulness-predictor-redteam-osst – AI Model by safepaca | AlphaNeural AI

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safepaca/
absolute-harmfulness-predictor-redteam-osst

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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deberta-v3-large-harmfulness

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1439
Mse: 1.1439

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: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Mse
2.1055	0.06	50	1.7626	1.7626
1.6818	0.12	100	1.4659	1.4659
1.4062	0.18	150	1.6323	1.6323
1.4777	0.24	200	1.3776	1.3776
1.4106	0.3	250	1.3044	1.3044
1.2702	0.37	300	1.3792	1.3792
1.4448	0.43	350	1.3048	1.3048
1.3582	0.49	400	1.2485	1.2485
1.2357	0.55	450	1.3709	1.3709
1.1075	0.61	500	1.2538	1.2538
1.2406	0.67	550	1.1996	1.1996
1.2309	0.73	600	1.2671	1.2671
1.194	0.79	650	1.4326	1.4326
1.2135	0.85	700	1.1763	1.1763
1.2196	0.91	750	1.1439	1.1439
1.1983	0.97	800	1.1711	1.1711

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3