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llama3.2-1B-dpo
BBexist/llama3.2-1B-dpo
llama3.2-1B-dpo is a machine learning model from BBexist. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024
- SHA
- 4c506259
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. -->
llama3.2-1B-dpo
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7077
- Rewards/chosen: -7.1636
- Rewards/rejected: -9.0302
- Rewards/accuracies: 0.4015
- Rewards/margins: 1.8666
- Logps/rejected: -197.2289
- Logps/chosen: -195.0906
- Logits/rejected: 0.2668
- Logits/chosen: 0.3537
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-05
- train_batch_size: 6
- eval_batch_size: 4
- seed: 42
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6114 | 0.3817 | 700 | 0.8334 | -7.6439 | -9.5517 | 0.3914 | 1.9077 | -202.4431 | -199.8938 | 0.4338 | 0.5238 |
| 0.6772 | 0.7634 | 1400 | 0.7077 | -7.1636 | -9.0302 | 0.4015 | 1.8666 | -197.2289 | -195.0906 | 0.2668 | 0.3537 |
Framework versions
- PEFT 0.8.2
- Transformers 4.45.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.20.0
- Library
- peft
- License
- llama3.2
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024