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distilbert-base-uncased-lora-text-classification-jackhao-jailbreak – AI Model by cyrp | AlphaNeural AI
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cyrp
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distilbert-base-uncased-lora-text-classification-jackhao-jailbreak
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peft
tensorboard
safetensors
generated_from_trainer
distilbert/distilbert-base-uncased
adapter
apache-2.0
us
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distilbert-base-uncased-lora-text-classification-jackhao-jailbreak
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0744
F1: 0.9809
Auprc: 0.9877
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: 0.001
train_batch_size: 8
eval_batch_size: 8
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
F1
Auprc
No log
1.0
131
0.1594
0.9313
0.9696
No log
2.0
262
0.0829
0.9847
0.9894
No log
3.0
393
0.0571
0.9809
0.9877
0.0806
4.0
524
0.0699
0.9847
0.9894
0.0806
5.0
655
0.0744
0.9809
0.9877
Framework versions
PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.2
Tokenizers 0.19.1
