End of training

README.md

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+---
+base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo
+library_name: peft
+license: gemma
+tags:
+- generated_from_trainer
+model-index:
+- name: adl-hw3-gemma-ch-3
+  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. -->
+
+# adl-hw3-gemma-ch-3
+
+This model is a fine-tuned version of [zake7749/gemma-2-2b-it-chinese-kyara-dpo](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1913
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.7575        | 0.64  | 200  | 2.3437          |
+| 2.3471        | 1.28  | 400  | 2.2306          |
+| 2.2045        | 1.92  | 600  | 2.1801          |
+| 2.1141        | 2.56  | 800  | 2.1636          |
+| 2.0208        | 3.2   | 1000 | 2.1566          |
+| 1.9529        | 3.84  | 1200 | 2.1489          |
+| 1.8748        | 4.48  | 1400 | 2.1775          |
+| 1.8402        | 5.12  | 1600 | 2.1840          |
+| 1.7656        | 5.76  | 1800 | 2.1913          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3