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
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Model tree for jdqqjr/Mistral-7b-uncensored-sft-lora
Base model
mistralai/Mistral-7B-Instruct-v0.2