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mrshlltaylor
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k3-Entity-Relationship-GPT2

Text Generation
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gpt2
Generated from Trainer
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  1. README.md +559 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
  4. runs/Jun20_20-22-51_255c5f7d24c6/events.out.tfevents.1718914975.255c5f7d24c6.1923.35 +3 -0
  5. runs/Jun20_20-22-51_255c5f7d24c6/events.out.tfevents.1718915053.255c5f7d24c6.1923.36 +3 -0
  6. runs/Jun20_20-26-07_255c5f7d24c6/events.out.tfevents.1718915172.255c5f7d24c6.1923.37 +3 -0
  7. runs/Jun20_20-28-00_255c5f7d24c6/events.out.tfevents.1718915284.255c5f7d24c6.1923.38 +3 -0
  8. runs/Jun20_20-29-03_255c5f7d24c6/events.out.tfevents.1718915349.255c5f7d24c6.1923.39 +3 -0
  9. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: gpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: k3-Entity-Relationship-GPT2
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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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+ # k3-Entity-Relationship-GPT2
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0051
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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: 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: 10
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+ - total_train_batch_size: 80
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 500
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+ - mixed_precision_training: Native AMP
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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 | 1 | 0.2858 |
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+ | No log | 2.0 | 2 | 0.1609 |
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+ | No log | 3.0 | 3 | 0.1687 |
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+ | No log | 4.0 | 4 | 0.1693 |
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+ | No log | 5.0 | 5 | 0.1588 |
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+ | No log | 6.0 | 6 | 0.1355 |
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+ | No log | 7.0 | 7 | 0.1201 |
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+ | No log | 8.0 | 8 | 0.1189 |
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+ | No log | 9.0 | 9 | 0.1168 |
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+ | 0.0164 | 10.0 | 10 | 0.1135 |
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+ | 0.0164 | 11.0 | 11 | 0.1092 |
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+ | 0.0164 | 12.0 | 12 | 0.1015 |
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+ | 0.0164 | 13.0 | 13 | 0.0965 |
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+ | 0.0164 | 14.0 | 14 | 0.0925 |
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+ | 0.0164 | 15.0 | 15 | 0.0875 |
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+ | 0.0164 | 16.0 | 16 | 0.0834 |
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+ | 0.0164 | 17.0 | 17 | 0.0800 |
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+ | 0.0164 | 18.0 | 18 | 0.0770 |
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+ | 0.0164 | 19.0 | 19 | 0.0741 |
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+ | 0.0097 | 20.0 | 20 | 0.0719 |
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+ | 0.0097 | 21.0 | 21 | 0.0689 |
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+ | 0.0097 | 22.0 | 22 | 0.0663 |
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+ | 0.0097 | 23.0 | 23 | 0.0642 |
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+ | 0.0097 | 24.0 | 24 | 0.0616 |
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+ | 0.0097 | 25.0 | 25 | 0.0593 |
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+ | 0.0097 | 26.0 | 26 | 0.0575 |
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+ | 0.0097 | 27.0 | 27 | 0.0558 |
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+ | 0.0097 | 28.0 | 28 | 0.0537 |
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+ | 0.0097 | 29.0 | 29 | 0.0519 |
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+ | 0.0065 | 30.0 | 30 | 0.0503 |
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+ | 0.0065 | 31.0 | 31 | 0.0492 |
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+ | 0.0065 | 32.0 | 32 | 0.0480 |
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+ | 0.0065 | 33.0 | 33 | 0.0463 |
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+ | 0.0065 | 34.0 | 34 | 0.0447 |
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+ | 0.0065 | 35.0 | 35 | 0.0438 |
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+ | 0.0065 | 36.0 | 36 | 0.0431 |
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+ | 0.0065 | 37.0 | 37 | 0.0419 |
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+ | 0.0065 | 38.0 | 38 | 0.0406 |
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+ | 0.0065 | 39.0 | 39 | 0.0397 |
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+ | 0.0048 | 40.0 | 40 | 0.0390 |
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+ | 0.0048 | 41.0 | 41 | 0.0381 |
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+ | 0.0048 | 42.0 | 42 | 0.0372 |
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+ | 0.0048 | 43.0 | 43 | 0.0362 |
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+ | 0.0048 | 44.0 | 44 | 0.0354 |
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+ | 0.0048 | 45.0 | 45 | 0.0347 |
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+ | 0.0048 | 46.0 | 46 | 0.0340 |
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+ | 0.0048 | 47.0 | 47 | 0.0332 |
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+ | 0.0048 | 48.0 | 48 | 0.0323 |
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+ | 0.0048 | 49.0 | 49 | 0.0317 |
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+ | 0.0037 | 50.0 | 50 | 0.0312 |
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+ | 0.0037 | 51.0 | 51 | 0.0307 |
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+ | 0.0037 | 52.0 | 52 | 0.0301 |
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+ | 0.0037 | 53.0 | 53 | 0.0295 |
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+ | 0.0037 | 54.0 | 54 | 0.0290 |
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+ | 0.0037 | 55.0 | 55 | 0.0285 |
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+ | 0.0037 | 56.0 | 56 | 0.0281 |
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+ | 0.0037 | 57.0 | 57 | 0.0276 |
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+ | 0.0037 | 58.0 | 58 | 0.0271 |
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+ | 0.0037 | 59.0 | 59 | 0.0265 |
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+ | 0.0031 | 60.0 | 60 | 0.0262 |
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+ | 0.0031 | 61.0 | 61 | 0.0259 |
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+ | 0.0031 | 62.0 | 62 | 0.0256 |
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+ | 0.0031 | 63.0 | 63 | 0.0252 |
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+ | 0.0031 | 64.0 | 64 | 0.0247 |
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+ | 0.0031 | 65.0 | 65 | 0.0241 |
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+ | 0.0031 | 66.0 | 66 | 0.0237 |
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+ | 0.0031 | 67.0 | 67 | 0.0234 |
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+ | 0.0031 | 68.0 | 68 | 0.0231 |
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+ | 0.0031 | 69.0 | 69 | 0.0228 |
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+ | 0.0026 | 70.0 | 70 | 0.0225 |
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+ | 0.0026 | 71.0 | 71 | 0.0222 |
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+ | 0.0026 | 72.0 | 72 | 0.0219 |
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+ | 0.0026 | 73.0 | 73 | 0.0217 |
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+ | 0.0026 | 74.0 | 74 | 0.0213 |
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+ | 0.0026 | 75.0 | 75 | 0.0210 |
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+ | 0.0026 | 76.0 | 76 | 0.0207 |
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+ | 0.0026 | 77.0 | 77 | 0.0205 |
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+ | 0.0026 | 78.0 | 78 | 0.0202 |
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+ | 0.0026 | 79.0 | 79 | 0.0200 |
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+ | 0.0023 | 80.0 | 80 | 0.0197 |
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+ | 0.0023 | 81.0 | 81 | 0.0195 |
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+ | 0.0023 | 82.0 | 82 | 0.0192 |
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+ | 0.0023 | 83.0 | 83 | 0.0190 |
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+ | 0.0023 | 84.0 | 84 | 0.0188 |
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+ | 0.0023 | 85.0 | 85 | 0.0186 |
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+ | 0.0023 | 86.0 | 86 | 0.0184 |
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+ | 0.0023 | 87.0 | 87 | 0.0181 |
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+ | 0.0023 | 88.0 | 88 | 0.0179 |
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+ | 0.0023 | 89.0 | 89 | 0.0177 |
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+ | 0.002 | 90.0 | 90 | 0.0175 |
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+ | 0.002 | 91.0 | 91 | 0.0174 |
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+ | 0.002 | 92.0 | 92 | 0.0173 |
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+ | 0.002 | 93.0 | 93 | 0.0171 |
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+ | 0.002 | 94.0 | 94 | 0.0169 |
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+ | 0.002 | 95.0 | 95 | 0.0167 |
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+ | 0.002 | 96.0 | 96 | 0.0166 |
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+ | 0.002 | 97.0 | 97 | 0.0164 |
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+ | 0.002 | 98.0 | 98 | 0.0162 |
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+ | 0.002 | 99.0 | 99 | 0.0161 |
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+ | 0.0018 | 100.0 | 100 | 0.0159 |
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+ | 0.0018 | 101.0 | 101 | 0.0158 |
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+ | 0.0018 | 102.0 | 102 | 0.0156 |
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+ | 0.0018 | 103.0 | 103 | 0.0155 |
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+ | 0.0018 | 104.0 | 104 | 0.0153 |
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+ | 0.0018 | 105.0 | 105 | 0.0151 |
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+ | 0.0018 | 106.0 | 106 | 0.0149 |
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+ | 0.0018 | 107.0 | 107 | 0.0148 |
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+ | 0.0018 | 108.0 | 108 | 0.0146 |
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+ | 0.0018 | 109.0 | 109 | 0.0145 |
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+ | 0.0016 | 110.0 | 110 | 0.0144 |
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+ | 0.0016 | 111.0 | 111 | 0.0142 |
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+ | 0.0016 | 112.0 | 112 | 0.0141 |
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+ | 0.0016 | 113.0 | 113 | 0.0140 |
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+ | 0.0016 | 114.0 | 114 | 0.0139 |
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+ | 0.0016 | 115.0 | 115 | 0.0138 |
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+ | 0.0016 | 116.0 | 116 | 0.0137 |
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+ | 0.0016 | 117.0 | 117 | 0.0135 |
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+ | 0.0016 | 118.0 | 118 | 0.0135 |
170
+ | 0.0016 | 119.0 | 119 | 0.0133 |
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+ | 0.0015 | 120.0 | 120 | 0.0132 |
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+ | 0.0015 | 121.0 | 121 | 0.0131 |
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+ | 0.0015 | 122.0 | 122 | 0.0130 |
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+ | 0.0015 | 123.0 | 123 | 0.0129 |
175
+ | 0.0015 | 124.0 | 124 | 0.0128 |
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+ | 0.0015 | 125.0 | 125 | 0.0127 |
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+ | 0.0015 | 126.0 | 126 | 0.0126 |
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+ | 0.0015 | 127.0 | 127 | 0.0125 |
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+ | 0.0015 | 128.0 | 128 | 0.0124 |
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+ | 0.0015 | 129.0 | 129 | 0.0122 |
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+ | 0.0014 | 130.0 | 130 | 0.0121 |
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+ | 0.0014 | 131.0 | 131 | 0.0121 |
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+ | 0.0014 | 132.0 | 132 | 0.0121 |
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+ | 0.0014 | 133.0 | 133 | 0.0120 |
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+ | 0.0014 | 134.0 | 134 | 0.0119 |
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+ | 0.0014 | 135.0 | 135 | 0.0118 |
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+ | 0.0014 | 136.0 | 136 | 0.0117 |
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+ | 0.0014 | 137.0 | 137 | 0.0116 |
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+ | 0.0014 | 138.0 | 138 | 0.0115 |
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+ | 0.0014 | 139.0 | 139 | 0.0114 |
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+ | 0.0013 | 140.0 | 140 | 0.0113 |
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+ | 0.0013 | 141.0 | 141 | 0.0112 |
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+ | 0.0013 | 142.0 | 142 | 0.0111 |
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+ | 0.0013 | 143.0 | 143 | 0.0111 |
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+ | 0.0013 | 144.0 | 144 | 0.0110 |
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+ | 0.0013 | 145.0 | 145 | 0.0109 |
197
+ | 0.0013 | 146.0 | 146 | 0.0109 |
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+ | 0.0013 | 147.0 | 147 | 0.0108 |
199
+ | 0.0013 | 148.0 | 148 | 0.0107 |
200
+ | 0.0013 | 149.0 | 149 | 0.0107 |
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+ | 0.0012 | 150.0 | 150 | 0.0106 |
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+ | 0.0012 | 151.0 | 151 | 0.0106 |
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+ | 0.0012 | 152.0 | 152 | 0.0105 |
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+ | 0.0012 | 153.0 | 153 | 0.0104 |
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+ | 0.0012 | 154.0 | 154 | 0.0103 |
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+ | 0.0012 | 155.0 | 155 | 0.0102 |
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+ | 0.0012 | 156.0 | 156 | 0.0102 |
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+ | 0.0012 | 157.0 | 157 | 0.0101 |
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+ | 0.0012 | 158.0 | 158 | 0.0101 |
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+ | 0.0012 | 159.0 | 159 | 0.0100 |
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+ | 0.0011 | 160.0 | 160 | 0.0100 |
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+ | 0.0011 | 161.0 | 161 | 0.0099 |
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+ | 0.0011 | 162.0 | 162 | 0.0099 |
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+ | 0.0011 | 163.0 | 163 | 0.0098 |
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+ | 0.0011 | 164.0 | 164 | 0.0097 |
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+ | 0.0011 | 165.0 | 165 | 0.0097 |
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+ | 0.0011 | 166.0 | 166 | 0.0096 |
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+ | 0.0011 | 167.0 | 167 | 0.0096 |
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+ | 0.0011 | 168.0 | 168 | 0.0095 |
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+ | 0.0011 | 169.0 | 169 | 0.0094 |
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+ | 0.001 | 170.0 | 170 | 0.0094 |
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+ | 0.001 | 171.0 | 171 | 0.0093 |
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+ | 0.001 | 172.0 | 172 | 0.0092 |
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+ | 0.001 | 173.0 | 173 | 0.0092 |
225
+ | 0.001 | 174.0 | 174 | 0.0091 |
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+ | 0.001 | 175.0 | 175 | 0.0091 |
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+ | 0.001 | 176.0 | 176 | 0.0090 |
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+ | 0.001 | 177.0 | 177 | 0.0090 |
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+ | 0.001 | 178.0 | 178 | 0.0090 |
230
+ | 0.001 | 179.0 | 179 | 0.0089 |
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+ | 0.001 | 180.0 | 180 | 0.0089 |
232
+ | 0.001 | 181.0 | 181 | 0.0088 |
233
+ | 0.001 | 182.0 | 182 | 0.0088 |
234
+ | 0.001 | 183.0 | 183 | 0.0087 |
235
+ | 0.001 | 184.0 | 184 | 0.0087 |
236
+ | 0.001 | 185.0 | 185 | 0.0087 |
237
+ | 0.001 | 186.0 | 186 | 0.0086 |
238
+ | 0.001 | 187.0 | 187 | 0.0086 |
239
+ | 0.001 | 188.0 | 188 | 0.0086 |
240
+ | 0.001 | 189.0 | 189 | 0.0085 |
241
+ | 0.0009 | 190.0 | 190 | 0.0085 |
242
+ | 0.0009 | 191.0 | 191 | 0.0084 |
243
+ | 0.0009 | 192.0 | 192 | 0.0084 |
244
+ | 0.0009 | 193.0 | 193 | 0.0083 |
245
+ | 0.0009 | 194.0 | 194 | 0.0083 |
246
+ | 0.0009 | 195.0 | 195 | 0.0082 |
247
+ | 0.0009 | 196.0 | 196 | 0.0082 |
248
+ | 0.0009 | 197.0 | 197 | 0.0082 |
249
+ | 0.0009 | 198.0 | 198 | 0.0081 |
250
+ | 0.0009 | 199.0 | 199 | 0.0081 |
251
+ | 0.0009 | 200.0 | 200 | 0.0081 |
252
+ | 0.0009 | 201.0 | 201 | 0.0080 |
253
+ | 0.0009 | 202.0 | 202 | 0.0080 |
254
+ | 0.0009 | 203.0 | 203 | 0.0080 |
255
+ | 0.0009 | 204.0 | 204 | 0.0079 |
256
+ | 0.0009 | 205.0 | 205 | 0.0079 |
257
+ | 0.0009 | 206.0 | 206 | 0.0079 |
258
+ | 0.0009 | 207.0 | 207 | 0.0078 |
259
+ | 0.0009 | 208.0 | 208 | 0.0078 |
260
+ | 0.0009 | 209.0 | 209 | 0.0077 |
261
+ | 0.0009 | 210.0 | 210 | 0.0077 |
262
+ | 0.0009 | 211.0 | 211 | 0.0077 |
263
+ | 0.0009 | 212.0 | 212 | 0.0077 |
264
+ | 0.0009 | 213.0 | 213 | 0.0076 |
265
+ | 0.0009 | 214.0 | 214 | 0.0076 |
266
+ | 0.0009 | 215.0 | 215 | 0.0075 |
267
+ | 0.0009 | 216.0 | 216 | 0.0075 |
268
+ | 0.0009 | 217.0 | 217 | 0.0075 |
269
+ | 0.0009 | 218.0 | 218 | 0.0075 |
270
+ | 0.0009 | 219.0 | 219 | 0.0075 |
271
+ | 0.0008 | 220.0 | 220 | 0.0074 |
272
+ | 0.0008 | 221.0 | 221 | 0.0074 |
273
+ | 0.0008 | 222.0 | 222 | 0.0074 |
274
+ | 0.0008 | 223.0 | 223 | 0.0073 |
275
+ | 0.0008 | 224.0 | 224 | 0.0073 |
276
+ | 0.0008 | 225.0 | 225 | 0.0073 |
277
+ | 0.0008 | 226.0 | 226 | 0.0073 |
278
+ | 0.0008 | 227.0 | 227 | 0.0072 |
279
+ | 0.0008 | 228.0 | 228 | 0.0072 |
280
+ | 0.0008 | 229.0 | 229 | 0.0072 |
281
+ | 0.0008 | 230.0 | 230 | 0.0071 |
282
+ | 0.0008 | 231.0 | 231 | 0.0071 |
283
+ | 0.0008 | 232.0 | 232 | 0.0071 |
284
+ | 0.0008 | 233.0 | 233 | 0.0071 |
285
+ | 0.0008 | 234.0 | 234 | 0.0070 |
286
+ | 0.0008 | 235.0 | 235 | 0.0070 |
287
+ | 0.0008 | 236.0 | 236 | 0.0070 |
288
+ | 0.0008 | 237.0 | 237 | 0.0070 |
289
+ | 0.0008 | 238.0 | 238 | 0.0069 |
290
+ | 0.0008 | 239.0 | 239 | 0.0069 |
291
+ | 0.0008 | 240.0 | 240 | 0.0069 |
292
+ | 0.0008 | 241.0 | 241 | 0.0069 |
293
+ | 0.0008 | 242.0 | 242 | 0.0069 |
294
+ | 0.0008 | 243.0 | 243 | 0.0069 |
295
+ | 0.0008 | 244.0 | 244 | 0.0069 |
296
+ | 0.0008 | 245.0 | 245 | 0.0068 |
297
+ | 0.0008 | 246.0 | 246 | 0.0068 |
298
+ | 0.0008 | 247.0 | 247 | 0.0068 |
299
+ | 0.0008 | 248.0 | 248 | 0.0068 |
300
+ | 0.0008 | 249.0 | 249 | 0.0067 |
301
+ | 0.0007 | 250.0 | 250 | 0.0067 |
302
+ | 0.0007 | 251.0 | 251 | 0.0067 |
303
+ | 0.0007 | 252.0 | 252 | 0.0067 |
304
+ | 0.0007 | 253.0 | 253 | 0.0067 |
305
+ | 0.0007 | 254.0 | 254 | 0.0066 |
306
+ | 0.0007 | 255.0 | 255 | 0.0066 |
307
+ | 0.0007 | 256.0 | 256 | 0.0066 |
308
+ | 0.0007 | 257.0 | 257 | 0.0066 |
309
+ | 0.0007 | 258.0 | 258 | 0.0065 |
310
+ | 0.0007 | 259.0 | 259 | 0.0065 |
311
+ | 0.0007 | 260.0 | 260 | 0.0065 |
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+ | 0.0007 | 261.0 | 261 | 0.0065 |
313
+ | 0.0007 | 262.0 | 262 | 0.0065 |
314
+ | 0.0007 | 263.0 | 263 | 0.0065 |
315
+ | 0.0007 | 264.0 | 264 | 0.0064 |
316
+ | 0.0007 | 265.0 | 265 | 0.0064 |
317
+ | 0.0007 | 266.0 | 266 | 0.0064 |
318
+ | 0.0007 | 267.0 | 267 | 0.0064 |
319
+ | 0.0007 | 268.0 | 268 | 0.0064 |
320
+ | 0.0007 | 269.0 | 269 | 0.0064 |
321
+ | 0.0007 | 270.0 | 270 | 0.0064 |
322
+ | 0.0007 | 271.0 | 271 | 0.0063 |
323
+ | 0.0007 | 272.0 | 272 | 0.0063 |
324
+ | 0.0007 | 273.0 | 273 | 0.0063 |
325
+ | 0.0007 | 274.0 | 274 | 0.0063 |
326
+ | 0.0007 | 275.0 | 275 | 0.0063 |
327
+ | 0.0007 | 276.0 | 276 | 0.0063 |
328
+ | 0.0007 | 277.0 | 277 | 0.0063 |
329
+ | 0.0007 | 278.0 | 278 | 0.0063 |
330
+ | 0.0007 | 279.0 | 279 | 0.0062 |
331
+ | 0.0007 | 280.0 | 280 | 0.0062 |
332
+ | 0.0007 | 281.0 | 281 | 0.0062 |
333
+ | 0.0007 | 282.0 | 282 | 0.0062 |
334
+ | 0.0007 | 283.0 | 283 | 0.0061 |
335
+ | 0.0007 | 284.0 | 284 | 0.0061 |
336
+ | 0.0007 | 285.0 | 285 | 0.0061 |
337
+ | 0.0007 | 286.0 | 286 | 0.0061 |
338
+ | 0.0007 | 287.0 | 287 | 0.0060 |
339
+ | 0.0007 | 288.0 | 288 | 0.0060 |
340
+ | 0.0007 | 289.0 | 289 | 0.0060 |
341
+ | 0.0007 | 290.0 | 290 | 0.0060 |
342
+ | 0.0007 | 291.0 | 291 | 0.0060 |
343
+ | 0.0007 | 292.0 | 292 | 0.0060 |
344
+ | 0.0007 | 293.0 | 293 | 0.0060 |
345
+ | 0.0007 | 294.0 | 294 | 0.0060 |
346
+ | 0.0007 | 295.0 | 295 | 0.0060 |
347
+ | 0.0007 | 296.0 | 296 | 0.0060 |
348
+ | 0.0007 | 297.0 | 297 | 0.0059 |
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+ ### Framework versions
555
+
556
+ - Transformers 4.41.2
557
+ - Pytorch 2.3.0+cu121
558
+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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