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Llama-3.1-8B-Instruct-SAA-900
chchen/Llama-3.1-8B-Instruct-SAA-900
Llama-3.1-8B-Instruct-SAA-900 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
- 530809e3
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-900
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_dpo_900 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1515
- Rewards/chosen: -0.0108
- Rewards/rejected: -0.0582
- Rewards/accuracies: 0.8222
- Rewards/margins: 0.0474
- Logps/rejected: -0.5819
- Logps/chosen: -0.1084
- Logits/rejected: -0.4031
- Logits/chosen: -0.3480
- Sft Loss: 0.0132
- Odds Ratio Loss: 1.3828
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.5773 | 0.9877 | 50 | 1.3696 | -0.1315 | -0.1754 | 0.7667 | 0.0440 | -1.7544 | -1.3147 | -0.4663 | -0.4034 | 0.1831 | 11.8657 |
| 0.2518 | 1.9753 | 100 | 0.2349 | -0.0190 | -0.0732 | 0.8111 | 0.0542 | -0.7321 | -0.1898 | -0.4483 | -0.3781 | 0.0216 | 2.1323 |
| 0.1304 | 2.9630 | 150 | 0.1530 | -0.0109 | -0.0612 | 0.8111 | 0.0502 | -0.6117 | -0.1094 | -0.4032 | -0.3454 | 0.0131 | 1.3988 |
| 0.1129 | 3.9506 | 200 | 0.1515 | -0.0108 | -0.0582 | 0.8222 | 0.0474 | -0.5819 | -0.1084 | -0.4031 | -0.3480 | 0.0132 | 1.3828 |
| 0.1194 | 4.9383 | 250 | 0.1522 | -0.0109 | -0.0642 | 0.8222 | 0.0533 | -0.6417 | -0.1088 | -0.3982 | -0.3417 | 0.0133 | 1.3891 |
| 0.0898 | 5.9259 | 300 | 0.1535 | -0.0110 | -0.0684 | 0.8111 | 0.0574 | -0.6839 | -0.1101 | -0.3960 | -0.3402 | 0.0136 | 1.3989 |
| 0.0928 | 6.9136 | 350 | 0.1572 | -0.0113 | -0.0679 | 0.7889 | 0.0567 | -0.6794 | -0.1125 | -0.3949 | -0.3394 | 0.0140 | 1.4318 |
| 0.0855 | 7.9012 | 400 | 0.1578 | -0.0112 | -0.0722 | 0.8000 | 0.0609 | -0.7215 | -0.1125 | -0.3935 | -0.3375 | 0.0138 | 1.4394 |
| 0.0985 | 8.8889 | 450 | 0.1574 | -0.0112 | -0.0720 | 0.8000 | 0.0608 | -0.7205 | -0.1122 | -0.3934 | -0.3372 | 0.0138 | 1.4358 |
| 0.0859 | 9.8765 | 500 | 0.1582 | -0.0113 | -0.0724 | 0.7889 | 0.0611 | -0.7239 | -0.1129 | -0.3937 | -0.3373 | 0.0140 | 1.4419 |
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