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llama_DPO_model_e1
thorirhrafn/llama_DPO_model_e1
llama_DPO_model_e1 is a machine learning model from thorirhrafn. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 13, 2024
- SHA
- 933ea22c
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_DPO_model_e1
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1779
- Rewards/chosen: 0.3527
- Rewards/rejected: -1.3764
- Rewards/accuracies: 1.0
- Rewards/margins: 1.7292
- Logps/rejected: -198.5740
- Logps/chosen: -157.1067
- Logits/rejected: -1.0528
- Logits/chosen: -0.8587
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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- 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: linear
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6603 | 0.1 | 25 | 0.6253 | 0.0416 | -0.1007 | 0.9633 | 0.1423 | -185.8169 | -160.2181 | -1.0525 | -0.8550 |
| 0.5342 | 0.2 | 50 | 0.5074 | 0.1130 | -0.3090 | 1.0 | 0.4220 | -187.8993 | -159.5039 | -1.0525 | -0.8569 |
| 0.4382 | 0.3 | 75 | 0.4022 | 0.1798 | -0.5442 | 1.0 | 0.7241 | -190.2517 | -158.8354 | -1.0530 | -0.8563 |
| 0.3592 | 0.4 | 100 | 0.3212 | 0.2338 | -0.7752 | 1.0 | 1.0090 | -192.5613 | -158.2961 | -1.0531 | -0.8579 |
| 0.3035 | 0.5 | 125 | 0.2590 | 0.2824 | -0.9912 | 1.0 | 1.2736 | -194.7217 | -157.8096 | -1.0528 | -0.8583 |
| 0.2374 | 0.6 | 150 | 0.2125 | 0.3190 | -1.1966 | 1.0 | 1.5157 | -196.7760 | -157.4438 | -1.0528 | -0.8575 |
| 0.2094 | 0.7 | 175 | 0.1868 | 0.3455 | -1.3260 | 1.0 | 1.6714 | -198.0693 | -157.1793 | -1.0528 | -0.8598 |
| 0.1886 | 0.79 | 200 | 0.1796 | 0.3491 | -1.3639 | 1.0 | 1.7130 | -198.4486 | -157.1428 | -1.0532 | -0.8617 |
| 0.1805 | 0.89 | 225 | 0.1785 | 0.3523 | -1.3731 | 1.0 | 1.7254 | -198.5406 | -157.1107 | -1.0530 | -0.8593 |
| 0.1821 | 0.99 | 250 | 0.1779 | 0.3527 | -1.3764 | 1.0 | 1.7292 | -198.5740 | -157.1067 | -1.0528 | -0.8587 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- peft
- License
- llama2
- Created
- May 12, 2024
- Updated
- May 13, 2024