metadata
license: mit
library_name: peft
tags:
- trl
- kto
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-Agents-Zephyr-1.0.9-KTO
results: []
WeniGPT-Agents-Zephyr-1.0.9-KTO
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5443
- Rewards/chosen: -130.8165
- Logps/chosen: -1605.7635
- Rewards/rejected: -121.0086
- Logps/rejected: -1472.8949
- Kl: 0.0
- Rewards/margins: -16.2952
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.4555 | 0.34 | 50 | 0.5443 | -148.8861 | -1786.4595 | -135.3632 | -1616.4402 | 0.0 | -20.0430 |
| 0.5714 | 0.68 | 100 | 0.5443 | -130.8165 | -1605.7635 | -121.0086 | -1472.8949 | 0.0 | -16.2952 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2