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Shanat/
shawgpt-ft

Name: shawgpt-ft
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

apache-2.0

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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: 3.2153

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.5479	0.7273	2	5.6143
5.2134	1.8182	5	4.9622
4.42	2.9091	8	4.1683
3.7165	4.0	11	3.7391
5.0148	4.7273	13	3.5272
3.0975	5.8182	16	3.3150
2.976	6.9091	19	3.2248
2.3761	7.2727	20	3.2153

Framework versions

PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.4.1+cu124
Datasets 3.0.1
Tokenizers 0.19.1

Shanat/shawgpt-ft

shawgpt-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Shanat/
shawgpt-ft