metadata
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: []
WeniGPT-Agents-Zephyr-1.0.1-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: 0.4733
- Rewards/chosen: -149.7694
- Logps/chosen: -1804.1348
- Rewards/rejected: -137.1733
- Logps/rejected: -1664.4484
- Kl: 0.0
- Rewards/margins: -9.4252
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 |
---|---|---|---|---|---|---|---|---|---|
0.4081 | 0.34 | 50 | 0.3897 | -0.9805 | -316.2467 | -3.9926 | -332.6412 | 1.7103 | 3.1516 |
0.4304 | 0.68 | 100 | 0.4733 | -149.7694 | -1804.1348 | -137.1733 | -1664.4484 | 0.0 | -9.4252 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2