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--- |
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library_name: peft |
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license: llama3 |
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base_model: WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0 |
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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: d6862033-733a-4693-9a59-d9d557215afb |
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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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# d6862033-733a-4693-9a59-d9d557215afb |
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This model is a fine-tuned version of [WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0](https://huggingface.co/WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8464 |
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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: 0.000201 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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 | 1.0445 | |
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| 0.9675 | 0.0085 | 50 | 0.9051 | |
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| 0.8815 | 0.0169 | 100 | 0.8867 | |
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| 0.8602 | 0.0254 | 150 | 0.8745 | |
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| 0.8663 | 0.0338 | 200 | 0.8689 | |
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| 0.8738 | 0.0423 | 250 | 0.8595 | |
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| 0.8367 | 0.0507 | 300 | 0.8545 | |
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| 0.8283 | 0.0592 | 350 | 0.8505 | |
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| 0.8532 | 0.0676 | 400 | 0.8476 | |
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| 0.855 | 0.0761 | 450 | 0.8465 | |
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| 0.8491 | 0.0845 | 500 | 0.8464 | |
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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 |
