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--- |
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base_model: google/gemma-2b |
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library_name: peft |
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license: gemma |
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metrics: |
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- accuracy |
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tags: |
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- trl |
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- reward-trainer |
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- generated_from_trainer |
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model-index: |
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- name: 0721_201833-google-gemma-2b |
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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/6-5940/huggingface/runs/mtxh3wh8) |
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# 0721_201833-google-gemma-2b |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7621 |
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- Accuracy: 0.515 |
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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: 1e-08 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.734 | 0.7692 | 5 | 0.7622 | 0.515 | |
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| 0.8399 | 1.5385 | 10 | 0.7622 | 0.515 | |
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| 0.7834 | 2.3077 | 15 | 0.7622 | 0.515 | |
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| 0.7012 | 3.0769 | 20 | 0.7622 | 0.515 | |
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| 0.7259 | 3.8462 | 25 | 0.7621 | 0.515 | |
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| 0.8204 | 4.6154 | 30 | 0.7621 | 0.515 | |
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| 0.7768 | 5.3846 | 35 | 0.7621 | 0.515 | |
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| 0.8371 | 6.1538 | 40 | 0.7621 | 0.515 | |
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| 0.7098 | 6.9231 | 45 | 0.7621 | 0.515 | |
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| 0.8716 | 7.6923 | 50 | 0.7621 | 0.515 | |
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| 0.6456 | 8.4615 | 55 | 0.7621 | 0.515 | |
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| 0.7848 | 9.2308 | 60 | 0.7621 | 0.515 | |
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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 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
