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nour-sam/
shawgpt-ft4

peft

tensorboard

safetensors

generated_from_trainer

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

adapter

apache-2.0

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shawgpt-ft4

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: 2.7517

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: 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	4.1433
2.0717	3.0	3	3.9443
1.978	4.0	4	3.7584
1.8766	5.0	5	3.5920
1.7922	6.0	6	3.4372
1.7215	7.0	7	3.2960
1.6398	8.0	8	3.1710
1.582	9.0	9	3.0635
1.5468	10.0	10	2.9731
1.4888	11.0	11	2.8988
1.4533	12.0	12	2.8398
1.4204	13.0	13	2.7961
1.3977	14.0	14	2.7667
1.3837	15.0	15	2.7517

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-ft4

shawgpt-ft4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nour-sam/
shawgpt-ft4