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: 1.4738

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• 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
4.6196	0.9231	3	4.1001
4.3204	1.8462	6	3.8081
3.9701	2.7692	9	3.5253
2.721	4.0	13	3.1570
3.329	4.9231	16	2.9058
3.0229	5.8462	19	2.6830
2.7687	6.7692	22	2.4873
1.9015	8.0	26	2.2572
2.3231	8.9231	29	2.0842
2.0802	9.8462	32	1.9251
1.9463	10.7692	35	1.8215
1.3485	12.0	39	1.7140
1.7274	12.9231	42	1.6481
1.6266	13.8462	45	1.5914
1.579	14.7692	48	1.5464
1.1539	16.0	52	1.5070
1.488	16.9231	55	1.4877
1.4566	17.8462	58	1.4766
1.0211	18.4615	60	1.4738

Framework versions

• PEFT 0.13.2
• Transformers 4.44.2
• Pytorch 2.5.0+cu124
• Datasets 3.0.2
• Tokenizers 0.19.1