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Llama-3.1-8B-Instruct-SAA-400
chchen/Llama-3.1-8B-Instruct-SAA-400
Llama-3.1-8B-Instruct-SAA-400 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Jan 12, 2025
- Updated
- Jan 12, 2025
- SHA
- 8f5a5e42
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. -->
Llama-3.1-8B-Instruct-SAA-400
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_dpo_400 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1181
- Rewards/chosen: -0.0081
- Rewards/rejected: -0.0551
- Rewards/accuracies: 0.8000
- Rewards/margins: 0.0470
- Logps/rejected: -0.5510
- Logps/chosen: -0.0815
- Logits/rejected: -0.3587
- Logits/chosen: -0.3145
- Sft Loss: 0.0122
- Odds Ratio Loss: 1.0589
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_ratio: 0.1
- num_epochs: 10.0
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.0959 | 2.2222 | 50 | 0.8812 | -0.0833 | -0.1278 | 0.8000 | 0.0444 | -1.2775 | -0.8334 | -0.4147 | -0.3542 | 0.0993 | 7.8184 |
| 0.2448 | 4.4444 | 100 | 0.1774 | -0.0141 | -0.0615 | 0.8000 | 0.0474 | -0.6147 | -0.1406 | -0.3962 | -0.3451 | 0.0187 | 1.5871 |
| 0.1229 | 6.6667 | 150 | 0.1202 | -0.0083 | -0.0555 | 0.7750 | 0.0472 | -0.5554 | -0.0834 | -0.3636 | -0.3187 | 0.0124 | 1.0785 |
| 0.1265 | 8.8889 | 200 | 0.1181 | -0.0081 | -0.0551 | 0.8000 | 0.0470 | -0.5510 | -0.0815 | -0.3587 | -0.3145 | 0.0122 | 1.0589 |
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.20.0
- Library
- peft
- License
- llama3.1
- Created
- Jan 12, 2025
- Updated
- Jan 12, 2025