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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: distilgpt2 |
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model-index: |
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- name: StatementOfWork_Generator_Omega2 |
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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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# StatementOfWork_Generator_Omega2 |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9436 |
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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: 2e-05 |
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- train_batch_size: 50 |
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- eval_batch_size: 50 |
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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: linear |
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- num_epochs: 50 |
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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 | 1.0 | 15 | 0.9674 | |
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| No log | 2.0 | 30 | 0.9673 | |
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| No log | 3.0 | 45 | 0.9633 | |
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| No log | 4.0 | 60 | 0.9629 | |
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| No log | 5.0 | 75 | 0.9633 | |
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| No log | 6.0 | 90 | 0.9634 | |
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| No log | 7.0 | 105 | 0.9635 | |
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| No log | 8.0 | 120 | 0.9603 | |
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| No log | 9.0 | 135 | 0.9550 | |
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| No log | 10.0 | 150 | 0.9583 | |
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| No log | 11.0 | 165 | 0.9574 | |
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| No log | 12.0 | 180 | 0.9544 | |
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| No log | 13.0 | 195 | 0.9540 | |
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| No log | 14.0 | 210 | 0.9575 | |
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| No log | 15.0 | 225 | 0.9530 | |
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| No log | 16.0 | 240 | 0.9519 | |
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| No log | 17.0 | 255 | 0.9514 | |
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| No log | 18.0 | 270 | 0.9534 | |
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| No log | 19.0 | 285 | 0.9498 | |
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| No log | 20.0 | 300 | 0.9554 | |
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| No log | 21.0 | 315 | 0.9474 | |
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| No log | 22.0 | 330 | 0.9539 | |
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| No log | 23.0 | 345 | 0.9470 | |
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| No log | 24.0 | 360 | 0.9491 | |
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| No log | 25.0 | 375 | 0.9478 | |
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| No log | 26.0 | 390 | 0.9454 | |
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| No log | 27.0 | 405 | 0.9472 | |
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| No log | 28.0 | 420 | 0.9481 | |
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| No log | 29.0 | 435 | 0.9467 | |
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| No log | 30.0 | 450 | 0.9473 | |
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| No log | 31.0 | 465 | 0.9478 | |
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| No log | 32.0 | 480 | 0.9439 | |
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| No log | 33.0 | 495 | 0.9453 | |
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| 0.2954 | 34.0 | 510 | 0.9446 | |
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| 0.2954 | 35.0 | 525 | 0.9453 | |
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| 0.2954 | 36.0 | 540 | 0.9452 | |
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| 0.2954 | 37.0 | 555 | 0.9442 | |
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| 0.2954 | 38.0 | 570 | 0.9459 | |
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| 0.2954 | 39.0 | 585 | 0.9442 | |
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| 0.2954 | 40.0 | 600 | 0.9443 | |
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| 0.2954 | 41.0 | 615 | 0.9445 | |
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| 0.2954 | 42.0 | 630 | 0.9442 | |
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| 0.2954 | 43.0 | 645 | 0.9441 | |
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| 0.2954 | 44.0 | 660 | 0.9453 | |
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| 0.2954 | 45.0 | 675 | 0.9447 | |
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| 0.2954 | 46.0 | 690 | 0.9441 | |
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| 0.2954 | 47.0 | 705 | 0.9438 | |
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| 0.2954 | 48.0 | 720 | 0.9438 | |
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| 0.2954 | 49.0 | 735 | 0.9437 | |
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| 0.2954 | 50.0 | 750 | 0.9436 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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