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KeshavPareek/
shawgpt-ft

Name: shawgpt-ft
Availability: InStock

generated_from_trainer

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

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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: 1.4380

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: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.2161	1.0	4	3.7834
3.4703	2.0	8	3.1296
2.9112	3.0	12	2.6287
2.4435	4.0	16	2.2645
2.1558	5.0	20	1.9463
1.6764	6.0	24	1.6903
1.4573	7.0	28	1.5762
1.4346	8.0	32	1.4948
1.37	9.0	36	1.4537
1.2472	10.0	40	1.4380

Framework versions

PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

KeshavPareek/shawgpt-ft

shawgpt-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

KeshavPareek/
shawgpt-ft