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FrederikKlinkby/
shawgpt-ft-epoch20

Name: shawgpt-ft-epoch20
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

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

adapter

apache-2.0

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shawgpt-ft-epoch20

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: 1.3738

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
4.6183	0.9231	3	4.0898
4.2697	1.8462	6	3.7187
3.8116	2.7692	9	3.3358
2.5344	4.0	13	2.8801
3.0199	4.9231	16	2.6124
2.6926	5.8462	19	2.3845
2.4042	6.7692	22	2.1734
1.6092	8.0	26	1.8884
1.8915	8.9231	29	1.7507
1.7133	9.8462	32	1.6384
1.607	10.7692	35	1.5362
1.1015	12.0	39	1.4586
1.4428	12.9231	42	1.4286
1.3842	13.8462	45	1.4070
1.3787	14.7692	48	1.3934
1.0289	16.0	52	1.3819
1.3426	16.9231	55	1.3771
1.3259	17.8462	58	1.3744
0.935	18.4615	60	1.3738

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.19.1

FrederikKlinkby/shawgpt-ft-epoch20

shawgpt-ft-epoch20

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

FrederikKlinkby/
shawgpt-ft-epoch20