File size: 5,691 Bytes
b6bd400 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 |
---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: llama_SFT_e1_DPO_e2
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_SFT_e1_DPO_e2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1258
- Rewards/chosen: 0.3605
- Rewards/rejected: -1.7770
- Rewards/accuracies: 1.0
- Rewards/margins: 2.1375
- Logps/rejected: -203.4181
- Logps/chosen: -156.2596
- Logits/rejected: -1.0532
- Logits/chosen: -0.8665
## 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: 7e-07
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6825 | 0.1 | 25 | 0.6596 | 0.0243 | -0.0451 | 0.8667 | 0.0694 | -186.0986 | -159.6209 | -1.0534 | -0.8570 |
| 0.6018 | 0.2 | 50 | 0.5820 | 0.0671 | -0.1728 | 0.9800 | 0.2399 | -187.3757 | -159.1936 | -1.0531 | -0.8568 |
| 0.5333 | 0.3 | 75 | 0.5021 | 0.1133 | -0.3236 | 1.0 | 0.4369 | -188.8834 | -158.7311 | -1.0544 | -0.8586 |
| 0.4522 | 0.4 | 100 | 0.4213 | 0.1615 | -0.5029 | 1.0 | 0.6644 | -190.6768 | -158.2497 | -1.0547 | -0.8596 |
| 0.3962 | 0.5 | 125 | 0.3555 | 0.1988 | -0.6844 | 1.0 | 0.8832 | -192.4913 | -157.8759 | -1.0548 | -0.8608 |
| 0.3164 | 0.6 | 150 | 0.2920 | 0.2416 | -0.8872 | 1.0 | 1.1288 | -194.5195 | -157.4483 | -1.0550 | -0.8660 |
| 0.2673 | 0.7 | 175 | 0.2400 | 0.2789 | -1.0936 | 1.0 | 1.3725 | -196.5838 | -157.0758 | -1.0540 | -0.8656 |
| 0.217 | 0.79 | 200 | 0.2008 | 0.3028 | -1.2873 | 1.0 | 1.5900 | -198.5201 | -156.8367 | -1.0540 | -0.8668 |
| 0.1822 | 0.89 | 225 | 0.1694 | 0.3294 | -1.4600 | 1.0 | 1.7894 | -200.2475 | -156.5703 | -1.0541 | -0.8674 |
| 0.1578 | 0.99 | 250 | 0.1483 | 0.3436 | -1.6056 | 1.0 | 1.9492 | -201.7036 | -156.4280 | -1.0538 | -0.8668 |
| 0.1509 | 1.09 | 275 | 0.1364 | 0.3512 | -1.6903 | 1.0 | 2.0414 | -202.5503 | -156.3527 | -1.0534 | -0.8666 |
| 0.1273 | 1.19 | 300 | 0.1322 | 0.3561 | -1.7242 | 1.0 | 2.0804 | -202.8900 | -156.3031 | -1.0532 | -0.8657 |
| 0.1208 | 1.29 | 325 | 0.1284 | 0.3561 | -1.7546 | 1.0 | 2.1106 | -203.1934 | -156.3038 | -1.0534 | -0.8668 |
| 0.1325 | 1.39 | 350 | 0.1270 | 0.3598 | -1.7654 | 1.0 | 2.1252 | -203.3020 | -156.2663 | -1.0532 | -0.8665 |
| 0.1287 | 1.49 | 375 | 0.1263 | 0.3618 | -1.7718 | 1.0 | 2.1336 | -203.3654 | -156.2462 | -1.0534 | -0.8666 |
| 0.1203 | 1.59 | 400 | 0.1252 | 0.3624 | -1.7783 | 1.0 | 2.1407 | -203.4305 | -156.2402 | -1.0532 | -0.8666 |
| 0.1188 | 1.69 | 425 | 0.1254 | 0.3610 | -1.7767 | 1.0 | 2.1377 | -203.4145 | -156.2542 | -1.0530 | -0.8664 |
| 0.1331 | 1.79 | 450 | 0.1253 | 0.3640 | -1.7760 | 1.0 | 2.1400 | -203.4073 | -156.2242 | -1.0531 | -0.8662 |
| 0.1301 | 1.89 | 475 | 0.1252 | 0.3641 | -1.7772 | 1.0 | 2.1413 | -203.4194 | -156.2230 | -1.0531 | -0.8667 |
| 0.1289 | 1.99 | 500 | 0.1258 | 0.3605 | -1.7770 | 1.0 | 2.1375 | -203.4181 | -156.2596 | -1.0532 | -0.8665 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2 |