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Llama-3.1-8B-Instruct-SAA-500
chchen/Llama-3.1-8B-Instruct-SAA-500
Llama-3.1-8B-Instruct-SAA-500 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
- 8fb787d0
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-500
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_dpo_500 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1156
- Rewards/chosen: -0.0083
- Rewards/rejected: -0.0476
- Rewards/accuracies: 0.8400
- Rewards/margins: 0.0394
- Logps/rejected: -0.4763
- Logps/chosen: -0.0828
- Logits/rejected: -0.4102
- Logits/chosen: -0.3506
- Sft Loss: 0.0123
- Odds Ratio Loss: 1.0330
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.1636 | 1.7778 | 50 | 1.0705 | -0.1023 | -0.1440 | 0.8600 | 0.0417 | -1.4401 | -1.0227 | -0.4901 | -0.4152 | 0.1264 | 9.4410 |
| 0.2533 | 3.5556 | 100 | 0.1969 | -0.0162 | -0.0598 | 0.8200 | 0.0436 | -0.5976 | -0.1621 | -0.4620 | -0.3943 | 0.0207 | 1.7615 |
| 0.123 | 5.3333 | 150 | 0.1220 | -0.0088 | -0.0489 | 0.8600 | 0.0401 | -0.4891 | -0.0879 | -0.4159 | -0.3564 | 0.0128 | 1.0917 |
| 0.1442 | 7.1111 | 200 | 0.1198 | -0.0086 | -0.0468 | 0.8200 | 0.0382 | -0.4680 | -0.0861 | -0.4111 | -0.3521 | 0.0128 | 1.0702 |
| 0.1387 | 8.8889 | 250 | 0.1156 | -0.0083 | -0.0476 | 0.8400 | 0.0394 | -0.4763 | -0.0828 | -0.4102 | -0.3506 | 0.0123 | 1.0330 |
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