File size: 2,657 Bytes
6e9c6cb b099315 6e9c6cb b099315 e63845f 6e9c6cb b099315 6e9c6cb b099315 6e9c6cb e63845f ff11116 b099315 6e9c6cb 8bf5085 6e9c6cb 8bf5085 6e9c6cb b099315 6e9c6cb b099315 6e9c6cb |
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 |
---
license: gemma
library_name: peft
tags:
- llama-factory
- lora
- trl
- dpo
- generated_from_trainer
base_model: google/gemma-7b-it
model-index:
- name: Gemma-7B-It-ORPO
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. -->
# Gemma-7B-It-ORPO
This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the dpo_mix_en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3471
- Rewards/chosen: -0.1281
- Rewards/rejected: -0.1500
- Rewards/accuracies: 0.5610
- Rewards/margins: 0.0219
- Logps/rejected: -1.5004
- Logps/chosen: -1.2814
- Logits/rejected: 254.6614
- Logits/chosen: 254.4679
- Sft Loss: 1.2814
- Odds Ratio Loss: 0.6571
## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.5041 | 0.8891 | 500 | 1.4185 | -0.1352 | -0.1564 | 0.5530 | 0.0212 | -1.5644 | -1.3522 | 250.7549 | 250.6463 | 1.3522 | 0.6626 |
| 1.428 | 1.7782 | 1000 | 1.3595 | -0.1294 | -0.1509 | 0.5600 | 0.0215 | -1.5091 | -1.2937 | 254.1350 | 253.9581 | 1.2937 | 0.6586 |
| 1.3302 | 2.6673 | 1500 | 1.3471 | -0.1281 | -0.1500 | 0.5610 | 0.0219 | -1.5004 | -1.2814 | 254.6614 | 254.4679 | 1.2814 | 0.6571 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1 |