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nour-sam/
shawgpt-ft6

Name: shawgpt-ft6
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

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

adapter

apache-2.0

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shawgpt-ft6

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: 4.1405

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.1354	1.0	1	4.2318
2.1268	2.0	2	4.2295
2.1189	3.0	3	4.2188
2.1264	4.0	4	4.2077
2.1174	5.0	5	4.1971
2.1101	6.0	6	4.1873
2.1162	7.0	7	4.1781
2.0936	8.0	8	4.1703
2.0862	9.0	9	4.1631
2.113	10.0	10	4.1567
2.0867	11.0	11	4.1517
2.0956	12.0	12	4.1470
2.0801	13.0	13	4.1438
2.092	14.0	14	4.1417
2.0841	15.0	15	4.1405

Framework versions

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

nour-sam/shawgpt-ft6

shawgpt-ft6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nour-sam/
shawgpt-ft6