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llama-3-orpo-qlora
dchoi44/llama-3-orpo-qlora
llama-3-orpo-qlora is a machine learning model from dchoi44. 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 llama3.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- Jun 10, 2024
- Updated
- Jun 24, 2024
- SHA
- ada29219
Base models
Datasets
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. -->
llama-3-orpo-qlora
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the mlabonne/orpo-dpo-mix-40k dataset. It achieves the following results on the evaluation set:
- Loss: 1.0581
- Rewards/chosen: -0.0823
- Rewards/rejected: -0.2496
- Rewards/accuracies: 0.7879
- Rewards/margins: 0.1673
- Logps/rejected: -2.4958
- Logps/chosen: -0.8230
- Logits/rejected: -1.0347
- Logits/chosen: -0.9355
- Nll Loss: 1.0625
- Log Odds Ratio: -0.3947
- Log Odds Chosen: 2.1017
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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 77
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- total_eval_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 5
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.2408 | 0.9998 | 1639 | 1.1078 | -0.0850 | -0.1592 | 0.7045 | 0.0742 | -1.5920 | -0.8498 | -0.9217 | -0.9313 | 1.1014 | -0.4987 | 1.0714 |
| 1.2158 | 1.9997 | 3278 | 1.0768 | -0.0818 | -0.1961 | 0.7273 | 0.1143 | -1.9613 | -0.8183 | -0.7536 | -0.7772 | 1.0726 | -0.4562 | 1.5271 |
| 1.0891 | 2.9995 | 4917 | 1.0654 | -0.0820 | -0.2184 | 0.7197 | 0.1365 | -2.1845 | -0.8200 | -0.9358 | -0.8876 | 1.0648 | -0.4458 | 1.7377 |
| 1.0521 | 3.9994 | 6556 | 1.0605 | -0.0824 | -0.2405 | 0.7727 | 0.1581 | -2.4049 | -0.8244 | -0.9998 | -0.8917 | 1.0630 | -0.4060 | 1.9929 |
| 1.0763 | 4.9992 | 8195 | 1.0581 | -0.0823 | -0.2496 | 0.7879 | 0.1673 | -2.4958 | -0.8230 | -1.0347 | -0.9355 | 1.0625 | -0.3947 | 2.1017 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.1
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- peft
- Type
- llama
- License
- llama3
- Created
- Jun 10, 2024
- Updated
- Jun 24, 2024