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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B |
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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: ecc2b8dc-3f2b-485b-ad43-af7d64536eea |
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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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# ecc2b8dc-3f2b-485b-ad43-af7d64536eea |
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This model is a fine-tuned version of [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3961 |
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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: 0.000218 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 180 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_BNB 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: 50 |
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- training_steps: 500 |
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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 | 0.0002 | 1 | 0.9534 | |
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| 0.5504 | 0.0104 | 50 | 0.5831 | |
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| 0.6452 | 0.0208 | 100 | 0.5537 | |
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| 0.5554 | 0.0312 | 150 | 0.5378 | |
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| 0.566 | 0.0416 | 200 | 0.5338 | |
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| 0.4541 | 0.0520 | 250 | 0.5013 | |
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| 0.4437 | 0.0624 | 300 | 0.4651 | |
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| 0.4195 | 0.0728 | 350 | 0.4388 | |
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| 0.4642 | 0.0832 | 400 | 0.4156 | |
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| 0.3864 | 0.0936 | 450 | 0.3997 | |
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| 0.4153 | 0.1040 | 500 | 0.3961 | |
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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 |
