metadata
library_name: peft
tags:
- trl
- kto
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-Agents-Zephyr-1.0.27-KTO
results: []
WeniGPT-Agents-Zephyr-1.0.27-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: 0.4799
- Rewards/chosen: 0.0648
- Rewards/rejected: -0.1020
- Rewards/margins: 0.1668
- Kl: 0.9039
- Logps/chosen: -278.8387
- Logps/rejected: -239.1956
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: 2e-06
- 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: 147
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/margins | Kl | Logps/chosen | Logps/rejected |
|---|---|---|---|---|---|---|---|---|---|
| 0.5716 | 0.33 | 50 | 0.4898 | 0.0297 | -0.0529 | 0.0826 | 0.4425 | -279.1900 | -238.7043 |
| 0.6643 | 0.66 | 100 | 0.4799 | 0.0648 | -0.1020 | 0.1668 | 0.9039 | -278.8387 | -239.1956 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2