|
--- |
|
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-5 |
|
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-5 |
|
|
|
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: 2.4426 |
|
|
|
## 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: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 2.3055 | 0.3556 | 200 | 2.1449 | |
|
| 2.107 | 0.7111 | 400 | 2.0629 | |
|
| 1.9753 | 1.0667 | 600 | 2.0500 | |
|
| 1.6997 | 1.4222 | 800 | 2.0477 | |
|
| 1.7306 | 1.7778 | 1000 | 2.0290 | |
|
| 1.5365 | 2.1333 | 1200 | 2.1725 | |
|
| 1.2898 | 2.4889 | 1400 | 2.1792 | |
|
| 1.3049 | 2.8444 | 1600 | 2.1651 | |
|
| 1.1339 | 3.2 | 1800 | 2.4387 | |
|
| 0.9677 | 3.5556 | 2000 | 2.4493 | |
|
| 0.9654 | 3.9111 | 2200 | 2.4426 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.45.1 |
|
- Pytorch 2.5.0+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.20.2 |
