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-finetune-gemma-2-chinese-kyara-6
+  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-finetune-gemma-2-chinese-kyara-6
+
+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: 2.1672
+
+## 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: 0.0001
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.3052        | 0.3556 | 200  | 2.1474          |
+| 2.1059        | 0.7111 | 400  | 2.0666          |
+| 1.9761        | 1.0667 | 600  | 2.0535          |
+| 1.7046        | 1.4222 | 800  | 2.0527          |
+| 1.7285        | 1.7778 | 1000 | 2.0320          |
+| 1.5505        | 2.1333 | 1200 | 2.1532          |
+| 1.3239        | 2.4889 | 1400 | 2.1683          |
+| 1.3304        | 2.8444 | 1600 | 2.1672          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3