End of training
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README.md
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---
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library_name: peft
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base_model: katuni4ka/tiny-random-qwen1.5-moe
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: 3838a51b-0133-48f9-9615-bfd2e48c9d48
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<br>
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# 3838a51b-0133-48f9-9615-bfd2e48c9d48
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This model is a fine-tuned version of [katuni4ka/tiny-random-qwen1.5-moe](https://huggingface.co/katuni4ka/tiny-random-qwen1.5-moe) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 11.5435
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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: 0.000209
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 90
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- training_steps: 9000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.0003 | 1 | 11.9301 |
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| 11.6397 | 0.1437 | 500 | 11.6333 |
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| 11.6184 | 0.2875 | 1000 | 11.6053 |
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| 11.5982 | 0.4312 | 1500 | 11.5863 |
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| 11.5901 | 0.5749 | 2000 | 11.5739 |
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| 11.585 | 0.7186 | 2500 | 11.5655 |
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| 11.5789 | 0.8624 | 3000 | 11.5599 |
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| 11.6416 | 1.0061 | 3500 | 11.5548 |
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| 11.5702 | 1.1498 | 4000 | 11.5518 |
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| 11.5693 | 1.2936 | 4500 | 11.5500 |
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| 11.5647 | 1.4373 | 5000 | 11.5480 |
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| 11.5669 | 1.5810 | 5500 | 11.5469 |
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| 11.5674 | 1.7248 | 6000 | 11.5459 |
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| 11.5629 | 1.8685 | 6500 | 11.5448 |
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| 11.6249 | 2.0122 | 7000 | 11.5443 |
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| 11.5669 | 2.1559 | 7500 | 11.5441 |
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| 11.562 | 2.2997 | 8000 | 11.5435 |
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| 11.5595 | 2.4434 | 8500 | 11.5435 |
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| 11.5535 | 2.5871 | 9000 | 11.5435 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.0
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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