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chchen/
Gemma-7B-It-ORPO-SAA

Name: Gemma-7B-It-ORPO-SAA
Availability: InStock

generated_from_trainer

google/gemma-7b-it

adapter

gemma

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Gemma-7B-It-ORPO-SALT

This model is a fine-tuned version of google/gemma-7b-it on the dpo_mix_en and the bct_non_cot_dpo_1000 datasets. It achieves the following results on the evaluation set:

Loss: 1.2657
Rewards/chosen: -0.1198
Rewards/rejected: -0.1438
Rewards/accuracies: 0.5700
Rewards/margins: 0.0239
Logps/rejected: -1.4377
Logps/chosen: -1.1983
Logits/rejected: 253.9599
Logits/chosen: 253.6037
Sft Loss: 1.1983
Odds Ratio Loss: 0.6746

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: 5e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen	Sft Loss	Odds Ratio Loss
1.374	0.8082	500	1.3436	-0.1276	-0.1503	0.5673	0.0227	-1.5033	-1.2762	249.9064	249.6123	1.2762	0.6738
1.1628	1.6165	1000	1.2833	-0.1215	-0.1446	0.5618	0.0231	-1.4461	-1.2153	253.1810	252.8272	1.2153	0.6796
1.1874	2.4247	1500	1.2657	-0.1198	-0.1438	0.5700	0.0239	-1.4377	-1.1983	253.9599	253.6037	1.1983	0.6746

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1

chchen/Gemma-7B-It-ORPO-SAA

Gemma-7B-It-ORPO-SALT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chchen/
Gemma-7B-It-ORPO-SAA