gemma-7b-orpo – AI Model by silviasapora | AlphaNeural AI

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silviasapora/
gemma-7b-orpo

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text-generation

alignment-handbook

generated_from_trainer

argilla/dpo-mix-7k

google/gemma-7b

autotrain_compatible

text-generation-inference

endpoints_compatible

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gemma-7b-orpo

This model is a fine-tuned version of google/gemma-7b on the argilla/dpo-mix-7k dataset. It achieves the following results on the evaluation set:

Loss: 1.7559
Rewards/chosen: -0.0650
Rewards/rejected: -0.0764
Rewards/accuracies: 0.5971
Rewards/margins: 0.0114
Logps/rejected: -1.5282
Logps/chosen: -1.3004
Logits/rejected: 266.0260
Logits/chosen: 295.6202
Nll Loss: 1.6941
Log Odds Ratio: -0.6992
Log Odds Chosen: 0.3721

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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_steps: 100
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen	Nll Loss	Log Odds Ratio	Log Odds Chosen
1.3309	1.0	1259	1.4432	-0.0513	-0.0583	0.5468	0.0071	-1.1666	-1.0254	310.9833	338.2715	1.3964	-0.7034	0.2119
0.647	2.0	2518	1.4816	-0.0529	-0.0637	0.5899	0.0108	-1.2742	-1.0583	296.0398	324.3109	1.4304	-0.6778	0.3416
0.348	3.0	3777	1.7559	-0.0650	-0.0764	0.5971	0.0114	-1.5282	-1.3004	266.0260	295.6202	1.6941	-0.6992	0.3721

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1