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OrpoLlama3-8B-FT
vishal1829/OrpoLlama3-8B-FT
OrpoLlama3-8B-FT is a machine learning model from vishal1829. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024
- SHA
- 61bbde05
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. -->
OrpoLlama3-8B-FT
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6399
- Rewards/chosen: -0.1279
- Rewards/rejected: -0.1298
- Rewards/accuracies: 1.0
- Rewards/margins: 0.0020
- Logps/rejected: -1.2982
- Logps/chosen: -1.2786
- Logits/rejected: -1.5312
- Logits/chosen: -0.9326
- Nll Loss: 1.5720
- Log Odds Ratio: -0.6797
- Log Odds Chosen: 0.0271
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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4.238 | 0.24 | 3 | 1.6636 | -0.1298 | -0.1322 | 1.0 | 0.0024 | -1.3225 | -1.2980 | -1.1489 | -0.9403 | 1.5959 | -0.6766 | 0.0335 |
| 4.8415 | 0.48 | 6 | 1.6603 | -0.1295 | -0.1319 | 1.0 | 0.0024 | -1.3193 | -1.2953 | -1.2236 | -0.9390 | 1.5926 | -0.6768 | 0.0329 |
| 2.4409 | 0.72 | 9 | 1.6512 | -0.1288 | -0.1311 | 1.0 | 0.0023 | -1.3109 | -1.2882 | -1.3781 | -0.9360 | 1.5835 | -0.6777 | 0.0312 |
| 2.0082 | 0.96 | 12 | 1.6399 | -0.1279 | -0.1298 | 1.0 | 0.0020 | -1.2982 | -1.2786 | -1.5312 | -0.9326 | 1.5720 | -0.6797 | 0.0271 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024