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: 1.3151

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7497	1.0	4	2.6779
2.6244	2.0	8	2.5849
2.4713	3.0	12	2.4209
2.2528	4.0	16	2.2592
2.1709	5.0	20	2.0030
1.7641	6.0	24	1.7789
1.5186	7.0	28	1.5817
1.4366	8.0	32	1.4485
1.3282	9.0	36	1.3829
1.1828	10.0	40	1.3437
1.2567	11.0	44	1.3216
1.0748	12.0	48	1.3156
1.1122	13.0	52	1.3091
0.9957	14.0	56	1.3154
1.0336	15.0	60	1.3151

Framework versions

• PEFT 0.13.2
• Transformers 4.45.2
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1