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--- |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out |
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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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# out |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T](https://huggingface.co./TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9391 |
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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: 2.5e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- gradient_accumulation_steps: 6 |
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- total_train_batch_size: 36 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 300 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.388 | 0.03 | 30 | 2.3495 | |
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| 2.3877 | 0.05 | 60 | 2.2353 | |
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| 2.1812 | 0.08 | 90 | 2.1786 | |
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| 2.1711 | 0.1 | 120 | 2.1453 | |
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| 2.098 | 0.13 | 150 | 2.1210 | |
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| 2.0884 | 0.15 | 180 | 2.1037 | |
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| 2.0129 | 0.18 | 210 | 2.0894 | |
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| 2.0921 | 0.2 | 240 | 2.0765 | |
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| 2.001 | 0.23 | 270 | 2.0648 | |
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| 2.0986 | 0.25 | 300 | 2.0550 | |
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| 2.0128 | 0.28 | 330 | 2.0458 | |
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| 2.1144 | 0.3 | 360 | 2.0385 | |
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| 2.0711 | 0.33 | 390 | 2.0308 | |
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| 1.9607 | 0.36 | 420 | 2.0239 | |
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| 1.9092 | 0.38 | 450 | 2.0179 | |
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| 2.1955 | 0.41 | 480 | 2.0121 | |
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| 2.0293 | 0.43 | 510 | 2.0063 | |
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| 2.0482 | 0.46 | 540 | 2.0017 | |
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| 2.0518 | 0.48 | 570 | 2.0036 | |
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| 1.9647 | 0.51 | 600 | 1.9984 | |
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| 2.0573 | 0.53 | 630 | 1.9938 | |
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| 1.9912 | 0.56 | 660 | 1.9879 | |
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| 1.9836 | 0.58 | 690 | 1.9866 | |
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| 1.9514 | 0.61 | 720 | 1.9834 | |
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| 1.9413 | 0.63 | 750 | 1.9792 | |
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| 1.9775 | 0.66 | 780 | 1.9726 | |
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| 1.9499 | 0.69 | 810 | 1.9690 | |
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| 2.0497 | 0.71 | 840 | 1.9663 | |
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| 2.0045 | 0.74 | 870 | 1.9636 | |
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| 2.0324 | 0.76 | 900 | 1.9605 | |
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| 1.9913 | 0.79 | 930 | 1.9574 | |
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| 1.9861 | 0.81 | 960 | 1.9553 | |
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| 1.8449 | 0.84 | 990 | 1.9527 | |
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| 1.9932 | 0.86 | 1020 | 1.9502 | |
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| 1.9845 | 0.89 | 1050 | 1.9485 | |
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| 2.0407 | 0.91 | 1080 | 1.9494 | |
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| 1.9496 | 0.94 | 1110 | 1.9448 | |
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| 1.9851 | 0.97 | 1140 | 1.9406 | |
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| 1.9856 | 0.99 | 1170 | 1.9391 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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