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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-2-9b-it |
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model-index: |
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- name: gemma2_9b_it_bwgenerator_older_data |
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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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# gemma2_9b_it_bwgenerator_older_data |
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This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0854 |
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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: 0.0003 |
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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: 32 |
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- total_train_batch_size: 128 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4812 | 0.1524 | 100 | 0.1790 | |
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| 0.1525 | 0.3048 | 200 | 0.1263 | |
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| 0.1041 | 0.4572 | 300 | 0.0948 | |
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| 0.0913 | 0.6096 | 400 | 0.0931 | |
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| 0.0863 | 0.7619 | 500 | 0.0892 | |
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| 0.083 | 0.9143 | 600 | 0.0854 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.7 |
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- Tokenizers 0.19.1 |
