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jdqqjr/
Mistral-7b-uncensored-sft-lora

Name: Mistral-7b-uncensored-sft-lora
Availability: InStock

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.2

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Mistral-7b_5000_8epoch_lora

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the advbench_sft_malicious dataset. It achieves the following results on the evaluation set:

Loss: 0.8734

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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 8.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3101	2.9542	500	0.4940
0.0918	5.9084	1000	0.7312

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1

jdqqjr/Mistral-7b-uncensored-sft-lora

Mistral-7b_5000_8epoch_lora

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jdqqjr/
Mistral-7b-uncensored-sft-lora