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--- |
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license: apache-2.0 |
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base_model: allenai/OLMo-1B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: O0506TEST2 |
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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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# O0506TEST2 |
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This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: -6.1946 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5234 | 0.09 | 10 | -1.5732 | |
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| -1.6148 | 0.18 | 20 | -1.6455 | |
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| -1.6632 | 0.27 | 30 | -1.6791 | |
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| -1.7073 | 0.36 | 40 | -1.7412 | |
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| -1.771 | 0.45 | 50 | -1.8170 | |
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| -1.8527 | 0.54 | 60 | -1.9152 | |
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| -1.9647 | 0.63 | 70 | -2.0400 | |
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| -2.1058 | 0.73 | 80 | -2.1959 | |
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| -2.2879 | 0.82 | 90 | -2.4163 | |
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| -2.5127 | 0.91 | 100 | -2.6733 | |
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| -2.7623 | 1.0 | 110 | -2.9418 | |
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| 1.9772 | 1.09 | 120 | 3.2375 | |
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| -0.6558 | 1.18 | 130 | -2.4587 | |
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| -2.9863 | 1.27 | 140 | -3.3977 | |
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| -3.5664 | 1.36 | 150 | -3.8086 | |
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| -3.9393 | 1.45 | 160 | -4.1914 | |
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| -4.292 | 1.54 | 170 | -4.5058 | |
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| -4.5875 | 1.63 | 180 | -4.8033 | |
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| -4.8602 | 1.72 | 190 | -5.0741 | |
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| -5.1734 | 1.81 | 200 | -5.2974 | |
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| -5.3674 | 1.9 | 210 | -5.4358 | |
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| -5.4772 | 1.99 | 220 | -5.6335 | |
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| -5.7073 | 2.08 | 230 | -5.7721 | |
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| -5.7794 | 2.18 | 240 | -5.8909 | |
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| -5.7909 | 2.27 | 250 | -5.9810 | |
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| -5.9785 | 2.36 | 260 | -6.0502 | |
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| -6.0635 | 2.45 | 270 | -6.0989 | |
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| -5.9563 | 2.54 | 280 | -6.1409 | |
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| -6.1511 | 2.63 | 290 | -6.1660 | |
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| -6.1327 | 2.72 | 300 | -6.1826 | |
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| -6.1021 | 2.81 | 310 | -6.1911 | |
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| -6.0999 | 2.9 | 320 | -6.1941 | |
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| -6.1908 | 2.99 | 330 | -6.1946 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.0 |
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