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--- |
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base_model: unsloth/gemma-2-9b-it-bnb-4bit |
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library_name: peft |
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license: gemma |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: chatbot-arena-20240726 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hasibirok0/chatbot-arena/runs/y7v5z90v) |
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# chatbot-arena-20240726 |
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This model is a fine-tuned version of [unsloth/gemma-2-9b-it-bnb-4bit](https://huggingface.co./unsloth/gemma-2-9b-it-bnb-4bit) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3505 |
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- Acc: 0.4 |
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- Log Loss: 1.3503 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Acc | Log Loss | |
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|:-------------:|:------:|:----:|:---------------:|:---:|:--------:| |
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| 1.3608 | 0.3333 | 2 | 1.5601 | 0.2 | 1.5602 | |
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| 1.4371 | 0.6667 | 4 | 1.6443 | 0.0 | 1.6444 | |
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| 1.4553 | 1.0 | 6 | 1.8381 | 0.4 | 1.8384 | |
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| 1.6976 | 1.3333 | 8 | 1.0593 | 0.4 | 1.0591 | |
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| 1.0222 | 1.6667 | 10 | 1.1011 | 0.0 | 1.1012 | |
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| 1.0382 | 2.0 | 12 | 1.3505 | 0.4 | 1.3503 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.42.4 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
