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--- |
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license: gemma |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: google/gemma-2b |
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model-index: |
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- name: eu-ai-act-align |
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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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# eu-ai-act-align |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7628 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.139 | 1.0 | 230 | 1.9804 | |
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| 1.9368 | 2.0 | 460 | 1.8491 | |
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| 1.8613 | 3.0 | 690 | 1.8011 | |
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| 1.8008 | 4.0 | 920 | 1.7763 | |
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| 1.7447 | 5.0 | 1150 | 1.7634 | |
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| 1.6942 | 6.0 | 1380 | 1.7563 | |
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| 1.6558 | 7.0 | 1610 | 1.7513 | |
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| 1.6192 | 8.0 | 1840 | 1.7446 | |
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| 1.5782 | 9.0 | 2070 | 1.7573 | |
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| 1.5463 | 10.0 | 2300 | 1.7628 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
