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Gemma-2B-It-ORPO
chchen/Gemma-2B-It-ORPO
Gemma-2B-It-ORPO is a machine learning model from chchen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Aug 15, 2024
- Updated
- Aug 15, 2024
- SHA
- 5fd6e30d
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Gemma-2B-It-ORPO
This model is a fine-tuned version of google/gemma-2b-it on the dpo_mix_en dataset. It achieves the following results on the evaluation set:
- Loss: 1.3996
- Rewards/chosen: -0.1332
- Rewards/rejected: -0.1501
- Rewards/accuracies: 0.5460
- Rewards/margins: 0.0169
- Logps/rejected: -1.5010
- Logps/chosen: -1.3319
- Logits/rejected: -20.7443
- Logits/chosen: -20.6555
- Sft Loss: 1.3319
- Odds Ratio Loss: 0.6769
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.5296 | 0.8891 | 500 | 1.4462 | -0.1378 | -0.1548 | 0.5470 | 0.0170 | -1.5481 | -1.3781 | -21.5745 | -21.4875 | 1.3781 | 0.6806 |
| 1.4761 | 1.7782 | 1000 | 1.4072 | -0.1340 | -0.1510 | 0.5350 | 0.0170 | -1.5095 | -1.3395 | -20.8914 | -20.8038 | 1.3395 | 0.6771 |
| 1.4105 | 2.6673 | 1500 | 1.3996 | -0.1332 | -0.1501 | 0.5460 | 0.0169 | -1.5010 | -1.3319 | -20.7443 | -20.6555 | 1.3319 | 0.6769 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Aug 15, 2024
- Updated
- Aug 15, 2024