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Llama-2-7b-hf-eval_threapist-DPO-filtered-0.2-local-version-1
LBK95/Llama-2-7b-hf-eval_threapist-DPO-filtered-0.2-local-version-1
Llama-2-7b-hf-eval_threapist-DPO-filtered-0.2-local-version-1 is a machine learning model from LBK95. 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 7, 2024
- Updated
- May 7, 2024
- SHA
- 636b1dc6
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-2-7b-hf-eval_threapist-DPO-filtered-0.2-local-version-1
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8124
- Rewards/chosen: -0.4914
- Rewards/rejected: -0.6417
- Rewards/accuracies: 0.5
- Rewards/margins: 0.1503
- Logps/rejected: -52.4510
- Logps/chosen: -51.8579
- Logits/rejected: -1.2607
- Logits/chosen: -1.2496
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.4633 | 0.4 | 94 | 0.7283 | -0.4834 | -0.5276 | 0.5 | 0.0443 | -51.3107 | -51.7779 | -0.9037 | -0.8864 |
| 0.7207 | 0.8 | 188 | 0.7368 | -0.2345 | -0.2555 | 0.6000 | 0.0210 | -48.5893 | -49.2894 | -0.7571 | -0.7388 |
| 0.3511 | 1.2 | 282 | 0.7674 | -0.4686 | -0.6027 | 0.5500 | 0.1341 | -52.0614 | -51.6306 | -1.0377 | -1.0234 |
| 0.6543 | 1.6 | 376 | 0.8144 | -0.4911 | -0.6379 | 0.5 | 0.1468 | -52.4135 | -51.8557 | -1.2458 | -1.2342 |
| 0.123 | 2.0 | 470 | 0.8124 | -0.4914 | -0.6417 | 0.5 | 0.1503 | -52.4510 | -51.8579 | -1.2607 | -1.2496 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- May 7, 2024
- Updated
- May 7, 2024