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ADL_Gemma3
b09501048/ADL_Gemma3
ADL_Gemma3 is a machine learning model from b09501048. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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.json34.4 MB · 91%
At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Oct 28, 2024
- Updated
- Oct 28, 2024
- SHA
- 070440a4
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
ADL_Gemma3
This model is a fine-tuned version of zake7749/gemma-2-2b-it-chinese-kyara-dpo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5088
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6494 | 1.0 | 1250 | 1.5550 |
| 1.6059 | 2.0 | 2500 | 1.5224 |
| 1.572 | 3.0 | 3750 | 1.5108 |
| 1.5713 | 4.0 | 5000 | 1.5088 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
- Library
- peft
- License
- gemma
- Created
- Oct 28, 2024
- Updated
- Oct 28, 2024