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Llama-3.1-8B-Instruct-SAA-200
chchen/Llama-3.1-8B-Instruct-SAA-200
Llama-3.1-8B-Instruct-SAA-200 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
- e297c87a
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-200
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_dpo_200 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4427
- Rewards/chosen: -0.0414
- Rewards/rejected: -0.1125
- Rewards/accuracies: 0.9000
- Rewards/margins: 0.0711
- Logps/rejected: -1.1247
- Logps/chosen: -0.4137
- Logits/rejected: -0.4660
- Logits/chosen: -0.3670
- Sft Loss: 0.0454
- Odds Ratio Loss: 3.9738
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.978 | 4.4444 | 50 | 0.8369 | -0.0801 | -0.1461 | 0.9500 | 0.0660 | -1.4606 | -0.8010 | -0.4790 | -0.3809 | 0.1018 | 7.3506 |
| 0.5508 | 8.8889 | 100 | 0.4427 | -0.0414 | -0.1125 | 0.9000 | 0.0711 | -1.1247 | -0.4137 | -0.4660 | -0.3670 | 0.0454 | 3.9738 |
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