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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: O0428HMA9 |
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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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# O0428HMA9 |
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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: 0.0545 |
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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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| 1.6202 | 0.09 | 10 | 0.2442 | |
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| 0.1807 | 0.18 | 20 | 0.1525 | |
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| 0.1486 | 0.27 | 30 | 0.1701 | |
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| 0.1564 | 0.36 | 40 | 0.1538 | |
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| 0.1507 | 0.45 | 50 | 0.1492 | |
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| 0.1511 | 0.54 | 60 | 0.1474 | |
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| 0.1491 | 0.63 | 70 | 0.1472 | |
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| 0.1496 | 0.73 | 80 | 0.1551 | |
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| 0.1466 | 0.82 | 90 | 0.1500 | |
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| 0.1496 | 0.91 | 100 | 0.1495 | |
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| 0.1516 | 1.0 | 110 | 0.1463 | |
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| 0.1509 | 1.09 | 120 | 0.1321 | |
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| 0.3642 | 1.18 | 130 | 0.2426 | |
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| 0.179 | 1.27 | 140 | 0.1081 | |
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| 0.1519 | 1.36 | 150 | 0.1300 | |
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| 0.272 | 1.45 | 160 | 0.0911 | |
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| 0.0746 | 1.54 | 170 | 0.0694 | |
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| 0.0657 | 1.63 | 180 | 0.0619 | |
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| 0.0678 | 1.72 | 190 | 0.0584 | |
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| 0.0578 | 1.81 | 200 | 0.0592 | |
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| 0.0577 | 1.9 | 210 | 0.0612 | |
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| 0.0599 | 1.99 | 220 | 0.0554 | |
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| 0.0587 | 2.08 | 230 | 0.0568 | |
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| 0.0538 | 2.18 | 240 | 0.0564 | |
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| 0.0562 | 2.27 | 250 | 0.0581 | |
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| 0.0591 | 2.36 | 260 | 0.0568 | |
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| 0.0537 | 2.45 | 270 | 0.0551 | |
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| 0.0523 | 2.54 | 280 | 0.0557 | |
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| 0.0548 | 2.63 | 290 | 0.0566 | |
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| 0.056 | 2.72 | 300 | 0.0545 | |
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| 0.0569 | 2.81 | 310 | 0.0543 | |
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| 0.0584 | 2.9 | 320 | 0.0545 | |
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| 0.0604 | 2.99 | 330 | 0.0545 | |
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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 0.14.1 |
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