|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- trl |
|
- kto |
|
- KTO |
|
- WeniGPT |
|
- generated_from_trainer |
|
base_model: HuggingFaceH4/zephyr-7b-beta |
|
model-index: |
|
- name: WeniGPT-Agents-Zephyr-1.0.1-KTO |
|
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. --> |
|
|
|
# WeniGPT-Agents-Zephyr-1.0.1-KTO |
|
|
|
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4733 |
|
- Rewards/chosen: -140.3215 |
|
- Logps/chosen: -1703.4486 |
|
- Rewards/rejected: -136.0403 |
|
- Logps/rejected: -1636.1003 |
|
- Kl: 0.0 |
|
- Rewards/margins: -6.8907 |
|
|
|
## 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: 0.0002 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- training_steps: 145 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Kl | Rewards/margins | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---:|:---------------:| |
|
| 0.4204 | 0.34 | 50 | 0.4736 | -17.1046 | -471.2798 | -19.5147 | -470.8448 | 0.0 | 1.9299 | |
|
| 0.4813 | 0.68 | 100 | 0.4733 | -140.3215 | -1703.4486 | -136.0403 | -1636.1003 | 0.0 | -6.8907 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.39.1 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
