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--- |
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base_model: google/gemma-2-9b |
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library_name: peft |
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license: gemma |
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tags: |
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- unsloth |
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- generated_from_trainer |
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model-index: |
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- name: gemma-2-9b_pct_default_r32 |
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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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# gemma-2-9b_pct_default_r32 |
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This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 9.9020 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.02 |
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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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| 2.5978 | 0.0206 | 8 | 4.9799 | |
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| 11.0056 | 0.0412 | 16 | 11.4640 | |
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| 11.7215 | 0.0618 | 24 | 11.8765 | |
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| 11.8793 | 0.0824 | 32 | 11.9059 | |
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| 11.8739 | 0.1030 | 40 | 11.9781 | |
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| 11.8763 | 0.1236 | 48 | 11.9487 | |
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| 11.8231 | 0.1442 | 56 | 11.8282 | |
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| 11.7758 | 0.1648 | 64 | 11.7664 | |
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| 11.8011 | 0.1854 | 72 | 11.4372 | |
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| 11.6991 | 0.2060 | 80 | 11.7334 | |
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| 11.8108 | 0.2266 | 88 | 11.5005 | |
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| 11.6519 | 0.2472 | 96 | 11.5944 | |
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| 11.6905 | 0.2678 | 104 | 11.5944 | |
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| 11.6003 | 0.2885 | 112 | 11.5914 | |
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| 11.5813 | 0.3091 | 120 | 11.5684 | |
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| 11.5493 | 0.3297 | 128 | 11.7560 | |
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| 11.5458 | 0.3503 | 136 | 11.4566 | |
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| 11.5838 | 0.3709 | 144 | 11.4331 | |
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| 11.4815 | 0.3915 | 152 | 11.5174 | |
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| 11.5369 | 0.4121 | 160 | 11.5271 | |
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| 11.4617 | 0.4327 | 168 | 11.5392 | |
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| 11.4399 | 0.4533 | 176 | 11.3691 | |
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| 11.3199 | 0.4739 | 184 | 10.9823 | |
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| 10.6547 | 0.4945 | 192 | 10.0666 | |
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| 8.8163 | 0.5151 | 200 | 8.7638 | |
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| 9.5635 | 0.5357 | 208 | 8.5153 | |
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| 8.7862 | 0.5563 | 216 | 9.2186 | |
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| 10.2774 | 0.5769 | 224 | 10.3834 | |
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| 9.7932 | 0.5975 | 232 | 9.7972 | |
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| 9.5421 | 0.6181 | 240 | 9.6845 | |
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| 9.5401 | 0.6387 | 248 | 9.3438 | |
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| 10.9001 | 0.6593 | 256 | 10.6070 | |
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| 9.959 | 0.6799 | 264 | 9.6172 | |
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| 9.5409 | 0.7005 | 272 | 10.4762 | |
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| 10.8074 | 0.7211 | 280 | 10.4872 | |
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| 9.1645 | 0.7417 | 288 | 7.6567 | |
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| 8.1072 | 0.7623 | 296 | 8.7911 | |
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| 9.7069 | 0.7829 | 304 | 10.0043 | |
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| 10.0752 | 0.8035 | 312 | 10.1655 | |
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| 9.9734 | 0.8241 | 320 | 9.9644 | |
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| 9.6722 | 0.8447 | 328 | 9.7803 | |
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| 9.8279 | 0.8654 | 336 | 9.5826 | |
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| 9.6714 | 0.8860 | 344 | 9.5533 | |
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| 9.655 | 0.9066 | 352 | 9.6339 | |
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| 9.7184 | 0.9272 | 360 | 9.7651 | |
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| 9.6142 | 0.9478 | 368 | 9.8536 | |
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| 9.9249 | 0.9684 | 376 | 9.8906 | |
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| 9.8654 | 0.9890 | 384 | 9.9020 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
