File size: 3,877 Bytes
dbf997f 29ef704 db55fd0 dbf997f 29ef704 db55fd0 dbf997f db55fd0 dbf997f 2f175cc dbf997f 29ef704 db55fd0 dbf997f |
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 |
---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: dpo-llama-chat
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. -->
# dpo-llama-chat
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1928
- Rewards/chosen: -1.3672
- Rewards/rejected: -4.3992
- Rewards/accuracies: 0.9310
- Rewards/margins: 3.0321
- Logps/rejected: -133.6114
- Logps/chosen: -90.8071
- Logits/rejected: -0.8584
- Logits/chosen: -0.8277
## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5985 | 0.24 | 100 | 0.5908 | -0.0098 | -0.3706 | 0.6857 | 0.3608 | -93.3248 | -77.2335 | -0.7818 | -0.8133 |
| 0.5032 | 0.47 | 200 | 0.4768 | -0.1589 | -0.9349 | 0.8037 | 0.7760 | -98.9677 | -78.7246 | -0.8669 | -0.8774 |
| 0.4105 | 0.71 | 300 | 0.4056 | -0.3303 | -1.5893 | 0.8316 | 1.2589 | -105.5115 | -80.4384 | -0.8423 | -0.8361 |
| 0.3707 | 0.94 | 400 | 0.3501 | -0.2376 | -1.6094 | 0.8760 | 1.3718 | -105.7129 | -79.5110 | -0.7540 | -0.7564 |
| 0.2363 | 1.18 | 500 | 0.2939 | -0.8615 | -2.9614 | 0.8932 | 2.0999 | -119.2329 | -85.7499 | -0.8983 | -0.8797 |
| 0.1947 | 1.42 | 600 | 0.2463 | -1.0709 | -3.5879 | 0.9085 | 2.5170 | -125.4976 | -87.8440 | -0.8982 | -0.8717 |
| 0.1823 | 1.65 | 700 | 0.2242 | -1.2056 | -3.7965 | 0.9158 | 2.5909 | -127.5844 | -89.1917 | -0.8272 | -0.8112 |
| 0.1476 | 1.89 | 800 | 0.2042 | -1.1764 | -3.9644 | 0.9271 | 2.7881 | -129.2632 | -88.8989 | -0.8622 | -0.8415 |
| 0.112 | 2.13 | 900 | 0.1936 | -1.3373 | -4.3265 | 0.9330 | 2.9891 | -132.8835 | -90.5088 | -0.8608 | -0.8338 |
| 0.0949 | 2.36 | 1000 | 0.1928 | -1.3672 | -4.3992 | 0.9310 | 3.0321 | -133.6114 | -90.8071 | -0.8584 | -0.8277 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1 |