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--- |
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license: other |
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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: Mental-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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# Mental-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: 2.5483 |
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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-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: cosine |
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- num_epochs: 10 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9567 | 0.79 | 100 | 2.9099 | |
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| 2.8576 | 1.59 | 200 | 2.8171 | |
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| 2.7521 | 2.38 | 300 | 2.7228 | |
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| 2.6615 | 3.17 | 400 | 2.6415 | |
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| 2.6034 | 3.97 | 500 | 2.5863 | |
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| 2.555 | 4.76 | 600 | 2.5637 | |
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| 2.5408 | 5.56 | 700 | 2.5563 | |
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| 2.5204 | 6.35 | 800 | 2.5526 | |
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| 2.5319 | 7.14 | 900 | 2.5503 | |
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| 2.5336 | 7.94 | 1000 | 2.5491 | |
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| 2.5264 | 8.73 | 1100 | 2.5485 | |
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| 2.5166 | 9.52 | 1200 | 2.5483 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
