Model save

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- kto
+- generated_from_trainer
+base_model: HuggingFaceH4/zephyr-7b-beta
+model-index:
+- name: WeniGPT-Agents-Zephyr-1.0.13-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-1.0.13-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: 0.3778
+- Eval/rewards/chosen: 3.1857
+- Eval/logps/chosen: -251.8053
+- Eval/rewards/rejected: 0.3628
+- Eval/logps/rejected: -260.7408
+- Eval/rewards/margins: 2.8228
+- Eval/kl: 10.1864
+
+## 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 |         |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.4194        | 0.34  | 50   | 0.4207          | 15.0623 |
+| 0.3603        | 0.68  | 100  | 0.3778          | 10.1864 |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2