pgd_mistral_8bits_lr9e-05_alpha32_rk4_do0.2_wd2.0e-02

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8425

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: 9e-05
• train_batch_size: 3
• eval_batch_size: 3
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.6427	0.9778	22	1.6811
1.0715	2.0	45	0.9352
0.8713	2.9778	67	0.8724
0.7894	4.0	90	0.8532
0.8064	4.9778	112	0.8457
0.7582	6.0	135	0.8422
0.7828	6.9778	157	0.8422
0.7403	8.0	180	0.8403
0.7665	8.9778	202	0.8410
0.7214	9.7778	220	0.8425

Framework versions

• PEFT 0.12.0
• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1