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nelkh/
pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02

Name: pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02
Availability: InStock

peft

safetensors

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.3

adapter

apache-2.0

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pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-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: 0.7862

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: 0.0002
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: 10
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.1023	0.9778	11	2.2315
1.8596	1.9556	22	1.1833
1.0222	2.9333	33	0.8672
0.7647	4.0	45	0.8008
0.7791	4.9778	56	0.7832
0.763	5.9556	67	0.7755
0.743	6.9333	78	0.7743
0.6757	8.0	90	0.7780
0.721	8.9778	101	0.7850
0.6752	9.7778	110	0.7862

Framework versions

PEFT 0.10.1.dev0
Transformers 4.43.4
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

nelkh/pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02

pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nelkh/
pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02