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gpt2_finetuned_wolfram
Joshwabail/gpt2_finetuned_wolfram
gpt2_finetuned_wolfram is a text generation model from Joshwabail. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gpt2_finetuned_wolfram
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.2595
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 113 | 6.3789 |
| No log | 2.0 | 226 | 6.0746 |
| No log | 3.0 | 339 | 5.7649 |
| No log | 4.0 | 452 | 5.4453 |
| 5.9875 | 5.0 | 565 | 5.2142 |
| 5.9875 | 6.0 | 678 | 5.0967 |
| 5.9875 | 7.0 | 791 | 5.0143 |
| 5.9875 | 8.0 | 904 | 4.9429 |
| 4.5754 | 9.0 | 1017 | 4.8936 |
| 4.5754 | 10.0 | 1130 | 4.8722 |
| 4.5754 | 11.0 | 1243 | 4.8700 |
| 4.5754 | 12.0 | 1356 | 4.8362 |
| 4.5754 | 13.0 | 1469 | 4.8246 |
| 4.0366 | 14.0 | 1582 | 4.8242 |
| 4.0366 | 15.0 | 1695 | 4.8149 |
| 4.0366 | 16.0 | 1808 | 4.8062 |
| 4.0366 | 17.0 | 1921 | 4.8065 |
| 3.8118 | 18.0 | 2034 | 4.8288 |
| 3.8118 | 19.0 | 2147 | 4.8035 |
| 3.8118 | 20.0 | 2260 | 4.8009 |
| 3.8118 | 21.0 | 2373 | 4.7835 |
| 3.8118 | 22.0 | 2486 | 4.7865 |
| 3.6394 | 23.0 | 2599 | 4.7833 |
| 3.6394 | 24.0 | 2712 | 4.7776 |
| 3.6394 | 25.0 | 2825 | 4.8030 |
| 3.6394 | 26.0 | 2938 | 4.7684 |
| 3.5105 | 27.0 | 3051 | 4.7724 |
| 3.5105 | 28.0 | 3164 | 4.7803 |
| 3.5105 | 29.0 | 3277 | 4.7792 |
| 3.5105 | 30.0 | 3390 | 4.8027 |
| 3.38 | 31.0 | 3503 | 4.8000 |
| 3.38 | 32.0 | 3616 | 4.8046 |
| 3.38 | 33.0 | 3729 | 4.7751 |
| 3.38 | 34.0 | 3842 | 4.7774 |
| 3.38 | 35.0 | 3955 | 4.7733 |
| 3.2382 | 36.0 | 4068 | 4.7886 |
| 3.2382 | 37.0 | 4181 | 4.7892 |
| 3.2382 | 38.0 | 4294 | 4.7876 |
| 3.2382 | 39.0 | 4407 | 4.7965 |
| 3.1022 | 40.0 | 4520 | 4.7879 |
| 3.1022 | 41.0 | 4633 | 4.7829 |
| 3.1022 | 42.0 | 4746 | 4.7884 |
| 3.1022 | 43.0 | 4859 | 4.7845 |
| 3.1022 | 44.0 | 4972 | 4.8193 |
| 2.9571 | 45.0 | 5085 | 4.7947 |
| 2.9571 | 46.0 | 5198 | 4.7968 |
| 2.9571 | 47.0 | 5311 | 4.7894 |
| 2.9571 | 48.0 | 5424 | 4.7892 |
| 2.7555 | 49.0 | 5537 | 4.7914 |
| 2.7555 | 50.0 | 5650 | 4.8099 |
| 2.7555 | 51.0 | 5763 | 4.8029 |
| 2.7555 | 52.0 | 5876 | 4.8000 |
| 2.7555 | 53.0 | 5989 | 4.8092 |
| 2.5656 | 54.0 | 6102 | 4.8111 |
| 2.5656 | 55.0 | 6215 | 4.8257 |
| 2.5656 | 56.0 | 6328 | 4.8109 |
| 2.5656 | 57.0 | 6441 | 4.8457 |
| 2.3501 | 58.0 | 6554 | 4.8428 |
| 2.3501 | 59.0 | 6667 | 4.8519 |
| 2.3501 | 60.0 | 6780 | 4.8652 |
| 2.3501 | 61.0 | 6893 | 4.8788 |
| 2.141 | 62.0 | 7006 | 4.8910 |
| 2.141 | 63.0 | 7119 | 4.8928 |
| 2.141 | 64.0 | 7232 | 4.9112 |
| 2.141 | 65.0 | 7345 | 4.9219 |
| 2.141 | 66.0 | 7458 | 4.9403 |
| 1.9122 | 67.0 | 7571 | 4.9585 |
| 1.9122 | 68.0 | 7684 | 4.9726 |
| 1.9122 | 69.0 | 7797 | 4.9904 |
| 1.9122 | 70.0 | 7910 | 5.0118 |
| 1.7176 | 71.0 | 8023 | 5.0129 |
| 1.7176 | 72.0 | 8136 | 5.0303 |
| 1.7176 | 73.0 | 8249 | 5.0529 |
| 1.7176 | 74.0 | 8362 | 5.0610 |
| 1.7176 | 75.0 | 8475 | 5.0821 |
| 1.5292 | 76.0 | 8588 | 5.0931 |
| 1.5292 | 77.0 | 8701 | 5.1154 |
| 1.5292 | 78.0 | 8814 | 5.1319 |
| 1.5292 | 79.0 | 8927 | 5.1394 |
| 1.3843 | 80.0 | 9040 | 5.1529 |
| 1.3843 | 81.0 | 9153 | 5.1711 |
| 1.3843 | 82.0 | 9266 | 5.1802 |
| 1.3843 | 83.0 | 9379 | 5.1952 |
| 1.3843 | 84.0 | 9492 | 5.2088 |
| 1.2643 | 85.0 | 9605 | 5.2170 |
| 1.2643 | 86.0 | 9718 | 5.2160 |
| 1.2643 | 87.0 | 9831 | 5.2267 |
| 1.2643 | 88.0 | 9944 | 5.2346 |
| 1.1928 | 89.0 | 10057 | 5.2418 |
| 1.1928 | 90.0 | 10170 | 5.2463 |
| 1.1928 | 91.0 | 10283 | 5.2505 |
| 1.1928 | 92.0 | 10396 | 5.2522 |
| 1.1556 | 93.0 | 10509 | 5.2538 |
| 1.1556 | 94.0 | 10622 | 5.2557 |
| 1.1556 | 95.0 | 10735 | 5.2566 |
| 1.1556 | 96.0 | 10848 | 5.2585 |
| 1.1556 | 97.0 | 10961 | 5.2594 |
| 1.1268 | 98.0 | 11074 | 5.2596 |
| 1.1268 | 99.0 | 11187 | 5.2595 |
| 1.1268 | 100.0 | 11300 | 5.2595 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Feb 26, 2023
- Updated
- Apr 17, 2023