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dpo-llama3-8b-grammar-rules
hannahbillo/dpo-llama3-8b-grammar-rules
dpo-llama3-8b-grammar-rules is a machine learning model from hannahbillo. 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
- Aug 20, 2024
- Updated
- Aug 20, 2024
- SHA
- 22cb8d53
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. -->
dpo-llama3-8b-grammar-rules
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1500
- Rewards/chosen: -0.7612
- Rewards/rejected: -2.8814
- Rewards/accuracies: 1.0
- Rewards/margins: 2.1202
- Logps/rejected: -647.7891
- Logps/chosen: -291.9149
- Logits/rejected: -1.1894
- Logits/chosen: -1.1810
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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.388 | 0.4444 | 50 | 0.3531 | -0.2310 | -1.1328 | 1.0 | 0.9018 | -472.9276 | -238.8918 | -1.2924 | -1.2917 |
| 0.1309 | 0.8889 | 100 | 0.1500 | -0.7612 | -2.8814 | 1.0 | 2.1202 | -647.7891 | -291.9149 | -1.1894 | -1.1810 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.1
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024