|
--- |
|
license: other |
|
base_model: lewtun/gemma-7b-sft-full-ultrachat-v0 |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
model-index: |
|
- name: gemma-7b-dpo-full-ultrafeedback-beta-0.01 |
|
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-dpo-full-ultrafeedback-beta-0.01 |
|
|
|
This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-ultrachat-v0](https://huggingface.co./lewtun/gemma-7b-sft-full-ultrachat-v0) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4698 |
|
- Rewards/chosen: -1.0027 |
|
- Rewards/rejected: -2.3339 |
|
- Rewards/accuracies: 0.7698 |
|
- Rewards/margins: 1.3312 |
|
- Logps/rejected: -1118.8601 |
|
- Logps/chosen: -1006.0907 |
|
- Logits/rejected: 90.6424 |
|
- Logits/chosen: 105.6680 |
|
|
|
## 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-07 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.552 | 0.21 | 100 | 0.5756 | -2.8657 | -3.5901 | 0.7460 | 0.7243 | -1244.4771 | -1192.3933 | 82.3244 | 96.5612 | |
|
| 0.501 | 0.42 | 200 | 0.4914 | -1.6427 | -2.6660 | 0.7817 | 1.0233 | -1152.0745 | -1070.0895 | 91.1202 | 105.1467 | |
|
| 0.4893 | 0.63 | 300 | 0.4810 | -1.6604 | -2.8398 | 0.7619 | 1.1794 | -1169.4480 | -1071.8550 | 87.4237 | 101.9799 | |
|
| 0.4759 | 0.84 | 400 | 0.4718 | -0.8508 | -2.1538 | 0.7817 | 1.3030 | -1100.8470 | -990.8950 | 89.1600 | 104.0108 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.1 |
|
|
