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burrnesha. ask token

README.md CHANGED
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  ---
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  license: apache-2.0
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ base_model: openlm-research/open_llama_3b_v2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: qlora-out
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+ results: []
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  ---
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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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+
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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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+ # qlora-out
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+
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+ This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9901
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - 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: 20
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.419 | 0.0 | 1 | 1.6021 |
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+ | 1.1683 | 0.05 | 282 | 1.1232 |
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+ | 1.0823 | 0.1 | 564 | 1.0956 |
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+ | 0.9881 | 0.15 | 846 | 1.0733 |
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+ | 0.5434 | 0.2 | 1128 | 1.0653 |
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+ | 1.0669 | 0.25 | 1410 | 1.0520 |
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+ | 1.2484 | 0.3 | 1692 | 1.0401 |
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+ | 1.3012 | 0.35 | 1974 | 1.0445 |
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+ | 1.2746 | 0.4 | 2256 | 1.0243 |
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+ | 1.2341 | 0.45 | 2538 | 1.0230 |
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+ | 1.0461 | 0.5 | 2820 | 1.0148 |
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+ | 1.0813 | 0.55 | 3102 | 1.0070 |
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+ | 1.1375 | 0.6 | 3384 | 1.0061 |
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+ | 1.0052 | 0.65 | 3666 | 1.0007 |
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+ | 1.171 | 0.7 | 3948 | 0.9966 |
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+ | 1.0764 | 0.75 | 4230 | 0.9948 |
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+ | 1.146 | 0.8 | 4512 | 0.9924 |
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+ | 1.2213 | 0.85 | 4794 | 0.9918 |
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+ | 1.1138 | 0.9 | 5076 | 0.9907 |
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+ | 1.0635 | 0.95 | 5358 | 0.9901 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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+ "task_type": "CAUSAL_LM"
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+ }
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