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gjonesQ02
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StatementOfWork_Generator_Omega_BS_1024_2

Text Generation
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gpt2
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  1. README.md +131 -0
  2. config.json +46 -0
  3. generation_config.json +6 -0
  4. merges.txt +0 -0
  5. model.safetensors +3 -0
  6. runs/Jul01_20-15-06_viridian/events.out.tfevents.1719864914.viridian.3786935.3 +3 -0
  7. runs/Jul01_20-19-12_viridian/events.out.tfevents.1719865157.viridian.3786935.4 +3 -0
  8. runs/Jul01_20-24-47_viridian/events.out.tfevents.1719865528.viridian.3874171.0 +3 -0
  9. special_tokens_map.json +5 -0
  10. tokenizer.json +0 -0
  11. tokenizer_config.json +19 -0
  12. training_args.bin +3 -0
  13. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilgpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: StatementOfWork_Generator_Omega_BS_1024_2
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+ results: []
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+ ---
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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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+
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+ # StatementOfWork_Generator_Omega_BS_1024_2
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+
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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: 1.3889
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 10
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+ - eval_batch_size: 100
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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: 75
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 10 | 3.3893 |
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+ | No log | 2.0 | 20 | 3.1683 |
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+ | No log | 3.0 | 30 | 2.9900 |
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+ | No log | 4.0 | 40 | 2.8271 |
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+ | No log | 5.0 | 50 | 2.6741 |
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+ | No log | 6.0 | 60 | 2.5419 |
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+ | No log | 7.0 | 70 | 2.4238 |
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+ | No log | 8.0 | 80 | 2.3227 |
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+ | No log | 9.0 | 90 | 2.2323 |
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+ | No log | 10.0 | 100 | 2.1533 |
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+ | No log | 11.0 | 110 | 2.0906 |
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+ | No log | 12.0 | 120 | 2.0305 |
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+ | No log | 13.0 | 130 | 1.9847 |
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+ | No log | 14.0 | 140 | 1.9410 |
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+ | No log | 15.0 | 150 | 1.9026 |
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+ | No log | 16.0 | 160 | 1.8693 |
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+ | No log | 17.0 | 170 | 1.8388 |
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+ | No log | 18.0 | 180 | 1.8103 |
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+ | No log | 19.0 | 190 | 1.7877 |
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+ | No log | 20.0 | 200 | 1.7618 |
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+ | No log | 21.0 | 210 | 1.7385 |
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+ | No log | 22.0 | 220 | 1.7191 |
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+ | No log | 23.0 | 230 | 1.6999 |
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+ | No log | 24.0 | 240 | 1.6793 |
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+ | No log | 25.0 | 250 | 1.6650 |
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+ | No log | 26.0 | 260 | 1.6472 |
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+ | No log | 27.0 | 270 | 1.6334 |
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+ | No log | 28.0 | 280 | 1.6172 |
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+ | No log | 29.0 | 290 | 1.6063 |
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+ | No log | 30.0 | 300 | 1.5923 |
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+ | No log | 31.0 | 310 | 1.5826 |
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+ | No log | 32.0 | 320 | 1.5702 |
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+ | No log | 33.0 | 330 | 1.5632 |
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+ | No log | 34.0 | 340 | 1.5513 |
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+ | No log | 35.0 | 350 | 1.5421 |
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+ | No log | 36.0 | 360 | 1.5328 |
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+ | No log | 37.0 | 370 | 1.5244 |
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+ | No log | 38.0 | 380 | 1.5136 |
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+ | No log | 39.0 | 390 | 1.5087 |
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+ | No log | 40.0 | 400 | 1.4996 |
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+ | No log | 41.0 | 410 | 1.4912 |
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+ | No log | 42.0 | 420 | 1.4852 |
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+ | No log | 43.0 | 430 | 1.4789 |
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+ | No log | 44.0 | 440 | 1.4724 |
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+ | No log | 45.0 | 450 | 1.4659 |
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+ | No log | 46.0 | 460 | 1.4632 |
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+ | No log | 47.0 | 470 | 1.4556 |
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+ | No log | 48.0 | 480 | 1.4505 |
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+ | No log | 49.0 | 490 | 1.4467 |
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+ | 1.8264 | 50.0 | 500 | 1.4397 |
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+ | 1.8264 | 51.0 | 510 | 1.4383 |
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+ | 1.8264 | 52.0 | 520 | 1.4330 |
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+ | 1.8264 | 53.0 | 530 | 1.4282 |
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+ | 1.8264 | 54.0 | 540 | 1.4263 |
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+ | 1.8264 | 55.0 | 550 | 1.4213 |
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+ | 1.8264 | 56.0 | 560 | 1.4186 |
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+ | 1.8264 | 57.0 | 570 | 1.4152 |
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+ | 1.8264 | 58.0 | 580 | 1.4129 |
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+ | 1.8264 | 59.0 | 590 | 1.4100 |
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+ | 1.8264 | 60.0 | 600 | 1.4079 |
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+ | 1.8264 | 61.0 | 610 | 1.4035 |
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+ | 1.8264 | 62.0 | 620 | 1.4022 |
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+ | 1.8264 | 63.0 | 630 | 1.3998 |
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+ | 1.8264 | 64.0 | 640 | 1.3979 |
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+ | 1.8264 | 65.0 | 650 | 1.3960 |
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+ | 1.8264 | 66.0 | 660 | 1.3944 |
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+ | 1.8264 | 67.0 | 670 | 1.3929 |
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+ | 1.8264 | 68.0 | 680 | 1.3926 |
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+ | 1.8264 | 69.0 | 690 | 1.3923 |
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+ | 1.8264 | 70.0 | 700 | 1.3907 |
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+ | 1.8264 | 71.0 | 710 | 1.3904 |
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+ | 1.8264 | 72.0 | 720 | 1.3897 |
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+ | 1.8264 | 73.0 | 730 | 1.3894 |
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+ | 1.8264 | 74.0 | 740 | 1.3890 |
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+ | 1.8264 | 75.0 | 750 | 1.3889 |
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+
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+
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+ ### Framework versions
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+
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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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