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---
library_name: peft
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama-2-7b-hf-DPO-LookAhead-5_TTree1.4_TT0.9_TP0.7_TE0.2_V7
results: []
---
<!-- 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-DPO-LookAhead-5_TTree1.4_TT0.9_TP0.7_TE0.2_V7
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4437
- Rewards/chosen: -1.5898
- Rewards/rejected: -2.7509
- Rewards/accuracies: 0.7000
- Rewards/margins: 1.1611
- Logps/rejected: -114.1047
- Logps/chosen: -92.5540
- Logits/rejected: -0.0729
- Logits/chosen: -0.0526
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6702 | 0.2993 | 66 | 0.6613 | 0.0837 | -0.0035 | 0.7000 | 0.0872 | -86.6308 | -75.8190 | 0.3314 | 0.3469 |
| 0.686 | 0.5986 | 132 | 0.5646 | 0.0172 | -0.3322 | 0.8000 | 0.3494 | -89.9173 | -76.4838 | 0.3494 | 0.3651 |
| 0.7758 | 0.8980 | 198 | 0.5747 | 0.0543 | -0.2153 | 0.9000 | 0.2696 | -88.7488 | -76.1133 | 0.3694 | 0.3845 |
| 0.6695 | 1.1973 | 264 | 0.5693 | -0.2661 | -0.6699 | 0.7000 | 0.4038 | -93.2946 | -79.3173 | 0.3321 | 0.3466 |
| 0.5453 | 1.4966 | 330 | 0.5472 | -0.6038 | -1.1332 | 0.6000 | 0.5294 | -97.9278 | -82.6945 | 0.2266 | 0.2424 |
| 0.5922 | 1.7959 | 396 | 0.5142 | -0.9005 | -1.6462 | 0.6000 | 0.7457 | -103.0579 | -85.6614 | 0.1303 | 0.1477 |
| 0.2128 | 2.0952 | 462 | 0.4825 | -1.1082 | -1.9752 | 0.8000 | 0.8670 | -106.3474 | -87.7384 | 0.0713 | 0.0898 |
| 0.1372 | 2.3946 | 528 | 0.4425 | -1.4160 | -2.5347 | 0.8000 | 1.1187 | -111.9428 | -90.8164 | -0.0224 | -0.0028 |
| 0.3622 | 2.6939 | 594 | 0.4437 | -1.5113 | -2.6570 | 0.8000 | 1.1457 | -113.1660 | -91.7698 | -0.0636 | -0.0435 |
| 0.1555 | 2.9932 | 660 | 0.4437 | -1.5898 | -2.7509 | 0.7000 | 1.1611 | -114.1047 | -92.5540 | -0.0729 | -0.0526 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3 |