You can deploy this model and start earning money today!

jdang/
openhermes-mistral-dpo-gptq

Name: openhermes-mistral-dpo-gptq
Availability: InStock

generated_from_trainer

TheBloke/OpenHermes-2-Mistral-7B-GPTQ

finetune

apache-2.0

Views

No views yet

openhermes-mistral-dpo-gptq

This model is a fine-tuned version of TheBloke/OpenHermes-2-Mistral-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6104
Rewards/chosen: -0.0458
Rewards/rejected: -0.4535
Rewards/accuracies: 0.6875
Rewards/margins: 0.4077
Logps/rejected: -390.3771
Logps/chosen: -149.5892
Logits/rejected: -1.3692
Logits/chosen: -1.4352

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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6865	0.01	10	0.6792	-0.0093	-0.0078	0.6875	-0.0015	-385.9200	-149.2238	-1.3698	-1.4189
0.6882	0.01	20	0.6660	-0.0137	-0.0526	0.625	0.0389	-386.3681	-149.2680	-1.3729	-1.4240
0.6391	0.01	30	0.6446	0.0000	-0.1131	0.625	0.1131	-386.9731	-149.1310	-1.3737	-1.4292
0.639	0.02	40	0.6271	-0.0337	-0.2758	0.6875	0.2421	-388.6000	-149.4686	-1.3729	-1.4342
0.6533	0.03	50	0.6104	-0.0458	-0.4535	0.6875	0.4077	-390.3771	-149.5892	-1.3692	-1.4352

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0

jdang/openhermes-mistral-dpo-gptq

openhermes-mistral-dpo-gptq

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jdang/
openhermes-mistral-dpo-gptq