shawgpt-ft

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

• Loss: 1.9102

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: 24
• eval_batch_size: 24
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 96
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.5215	1.0	1	3.3144
1.1816	2.0	3	3.0479
1.0977	3.0	5	2.7926
2.0195	4.0	6	2.6715
2.0273	5.0	7	2.5671
0.8926	6.0	9	2.3771
0.8271	7.0	11	2.2092
1.5869	8.0	12	2.1461
1.5469	9.0	13	2.0923
0.709	10.0	15	2.0085
0.75	11.0	17	1.9511
1.3555	12.0	18	1.9306
1.3994	13.0	19	1.9170
0.4607	13.3333	20	1.9102

Framework versions

• PEFT 0.13.0
• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1