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--- |
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license: apache-2.0 |
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base_model: OpenPipe/mistral-ft-optimized-1227 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: models/loras2/7bdb17d0-3f6b-4921-93db-0f46c4d9d81b |
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# models/loras2/7bdb17d0-3f6b-4921-93db-0f46c4d9d81b |
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This model is a fine-tuned version of [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0179 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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_steps: 10 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4795 | 0.02 | 1 | 0.4746 | |
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| 0.0282 | 0.2 | 12 | 0.0309 | |
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| 0.0168 | 0.4 | 24 | 0.0242 | |
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| 0.0216 | 0.59 | 36 | 0.0208 | |
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| 0.0167 | 0.79 | 48 | 0.0189 | |
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| 0.0157 | 0.99 | 60 | 0.0186 | |
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| 0.0156 | 1.19 | 72 | 0.0177 | |
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| 0.0135 | 1.38 | 84 | 0.0182 | |
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| 0.0139 | 1.58 | 96 | 0.0178 | |
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| 0.0169 | 1.78 | 108 | 0.0178 | |
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| 0.0111 | 1.98 | 120 | 0.0179 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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