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: 1.3191

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: 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
4.5905	0.9231	3	3.9593
4.025	1.8462	6	3.4099
3.4125	2.7692	9	2.9152
2.1722	4.0	13	2.4169
2.4691	4.9231	16	2.1005
2.0548	5.8462	19	1.8257
1.7281	6.7692	22	1.6290
1.1606	8.0	26	1.4558
1.4189	8.9231	29	1.4021
1.3437	9.8462	32	1.3720
1.3363	10.7692	35	1.3524
0.9514	12.0	39	1.3344
1.2724	12.9231	42	1.3275
1.2308	13.8462	45	1.3237
1.2342	14.7692	48	1.3222
0.9248	16.0	52	1.3202
1.2053	16.9231	55	1.3195
1.1905	17.8462	58	1.3191

Framework versions

• PEFT 0.13.2
• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1