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adhi29/
openhermes-mistral-dpo-gptq

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

generated_from_trainer

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

finetune

apache-2.0

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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: 0.6796
Rewards/chosen: 0.0825
Rewards/rejected: 0.0991
Rewards/accuracies: 0.375
Rewards/margins: -0.0166
Logps/rejected: -111.4488
Logps/chosen: -104.0037
Logits/rejected: -1.8100
Logits/chosen: -1.8966

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: 40
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
0.6782	0.01	10	0.6854	0.0505	0.0332	0.5625	0.0173	-112.1082	-104.3235	-1.7988	-1.8929
0.7064	0.01	20	0.6812	0.0509	0.0279	0.8125	0.0230	-112.1610	-104.3192	-1.8032	-1.8968
0.7024	0.01	30	0.6820	0.0697	0.0728	0.375	-0.0031	-111.7118	-104.1311	-1.8068	-1.8953
0.6946	0.02	40	0.6796	0.0825	0.0991	0.375	-0.0166	-111.4488	-104.0037	-1.8100	-1.8966

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0

adhi29/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

adhi29/
openhermes-mistral-dpo-gptq