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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_ortho_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_ortho_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: 9.3620 |
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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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| 2.3352 | 0.0206 | 8 | 2.9038 | |
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| 11.3417 | 0.0412 | 16 | 11.9083 | |
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| 11.9918 | 0.0618 | 24 | 11.9774 | |
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| 11.9549 | 0.0824 | 32 | 11.9675 | |
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| 11.974 | 0.1030 | 40 | 11.9736 | |
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| 11.9403 | 0.1236 | 48 | 11.9468 | |
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| 11.9321 | 0.1442 | 56 | 11.8809 | |
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| 11.876 | 0.1648 | 64 | 11.8218 | |
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| 11.7886 | 0.1854 | 72 | 11.7345 | |
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| 11.6471 | 0.2060 | 80 | 11.6236 | |
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| 11.5982 | 0.2266 | 88 | 11.3718 | |
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| 11.7088 | 0.2472 | 96 | 11.6792 | |
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| 11.7296 | 0.2678 | 104 | 11.6883 | |
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| 11.6508 | 0.2885 | 112 | 11.4420 | |
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| 10.7655 | 0.3091 | 120 | 8.8174 | |
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| 8.5075 | 0.3297 | 128 | 9.0568 | |
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| 8.912 | 0.3503 | 136 | 9.4162 | |
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| 11.0052 | 0.3709 | 144 | 10.3473 | |
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| 9.103 | 0.3915 | 152 | 9.6451 | |
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| 8.9631 | 0.4121 | 160 | 8.6492 | |
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| 9.9634 | 0.4327 | 168 | 9.4401 | |
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| 9.814 | 0.4533 | 176 | 10.4748 | |
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| 10.507 | 0.4739 | 184 | 10.1910 | |
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| 9.6613 | 0.4945 | 192 | 9.2201 | |
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| 9.0448 | 0.5151 | 200 | 10.3913 | |
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| 9.4984 | 0.5357 | 208 | 8.5434 | |
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| 7.4393 | 0.5563 | 216 | 8.4350 | |
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| 10.0883 | 0.5769 | 224 | 10.2584 | |
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| 10.7162 | 0.5975 | 232 | 10.6899 | |
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| 10.4785 | 0.6181 | 240 | 10.4417 | |
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| 10.023 | 0.6387 | 248 | 9.6244 | |
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| 9.2272 | 0.6593 | 256 | 8.9308 | |
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| 9.1518 | 0.6799 | 264 | 9.2269 | |
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| 9.1733 | 0.7005 | 272 | 9.2434 | |
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| 9.3347 | 0.7211 | 280 | 9.2831 | |
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| 9.468 | 0.7417 | 288 | 9.1046 | |
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| 8.9402 | 0.7623 | 296 | 9.0102 | |
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| 9.1051 | 0.7829 | 304 | 9.2617 | |
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| 9.2223 | 0.8035 | 312 | 9.3921 | |
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| 9.3359 | 0.8241 | 320 | 9.3277 | |
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| 9.1508 | 0.8447 | 328 | 9.2755 | |
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| 9.5364 | 0.8654 | 336 | 9.3031 | |
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| 9.4429 | 0.8860 | 344 | 9.3229 | |
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| 9.3958 | 0.9066 | 352 | 9.3408 | |
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| 9.3778 | 0.9272 | 360 | 9.3577 | |
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| 9.1859 | 0.9478 | 368 | 9.3607 | |
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| 9.4256 | 0.9684 | 376 | 9.3622 | |
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| 9.3454 | 0.9890 | 384 | 9.3620 | |
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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 |
