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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: EleutherAI/pythia-410m-deduped |
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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: 1db30786-aad8-4587-a235-519326aa26bb |
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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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# 1db30786-aad8-4587-a235-519326aa26bb |
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This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8320 |
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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: 0.000214 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 140 |
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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 | 0.0005 | 1 | 4.2553 | |
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| 2.9014 | 0.0239 | 50 | 1.3918 | |
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| 4.0067 | 0.0478 | 100 | 2.3113 | |
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| 3.2874 | 0.0717 | 150 | 1.4772 | |
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| 2.4335 | 0.0956 | 200 | 1.0888 | |
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| 2.7371 | 0.1194 | 250 | 1.1248 | |
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| 2.2539 | 0.1433 | 300 | 0.9772 | |
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| 2.3061 | 0.1672 | 350 | 0.9379 | |
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| 2.0217 | 0.1911 | 400 | 0.8595 | |
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| 2.2005 | 0.2150 | 450 | 0.8373 | |
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| 2.1046 | 0.2389 | 500 | 0.8320 | |
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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 |
