metadata
library_name: peft
tags:
- trl
- kto
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-Agents-Zephyr-1.0.26-KTO
results: []
WeniGPT-Agents-Zephyr-1.0.26-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: 0.5
- Rewards/chosen: -231.0626
- Rewards/rejected: -192.8458
- Rewards/margins: -38.2168
- Kl: 0.0
- Logps/chosen: -2590.1130
- Logps/rejected: -2166.6335
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: 0.02
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.5885 | 0.33 | 50 | 0.5 | -231.0727 | -192.8536 | -38.2191 | 0.0 | -2590.2131 | -2166.7112 |
| 0.7906 | 0.66 | 100 | 0.5 | -231.0626 | -192.8458 | -38.2168 | 0.0 | -2590.1130 | -2166.6335 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2