|
--- |
|
base_model: Minbyul/selfbiorag-7b-wo-kqa_golden-sft |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
model-index: |
|
- name: selfbiorag-7b-dpo-full-sft-wo-kqa_golden |
|
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. --> |
|
|
|
# selfbiorag-7b-dpo-full-sft-wo-kqa_golden |
|
|
|
This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-kqa_golden-sft](https://huggingface.co/Minbyul/selfbiorag-7b-wo-kqa_golden-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2401 |
|
- Rewards/chosen: -1.0928 |
|
- Rewards/rejected: -13.1704 |
|
- Rewards/accuracies: 0.8942 |
|
- Rewards/margins: 12.0777 |
|
- Logps/rejected: -2031.5652 |
|
- Logps/chosen: -567.3484 |
|
- Logits/rejected: -0.2100 |
|
- Logits/chosen: -0.3532 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 64 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.249 | 0.31 | 100 | 0.3604 | -0.7724 | -7.8952 | 0.8942 | 7.1228 | -1504.0413 | -535.3107 | -0.2666 | -0.2359 | |
|
| 0.1374 | 0.62 | 200 | 0.2389 | -0.9231 | -8.0656 | 0.9038 | 7.1425 | -1521.0862 | -550.3824 | -0.1753 | -0.2822 | |
|
| 0.0982 | 0.92 | 300 | 0.2413 | -1.0961 | -13.1849 | 0.8942 | 12.0888 | -2033.0142 | -567.6829 | -0.2111 | -0.3569 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
|
|
