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gpt2english98
wolferobert3/gpt2english98
gpt2english98 is a text generation model from wolferobert3. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- b38f7d78
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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. -->
gpt2english98
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.9145
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4337 | 0.0102 | 10000 | 6.3333 |
| 6.163 | 0.0204 | 20000 | 6.0858 |
| 6.0254 | 0.0306 | 30000 | 5.9577 |
| 5.9641 | 0.0408 | 40000 | 5.8612 |
| 5.9122 | 0.0510 | 50000 | 5.7882 |
| 5.7888 | 0.0612 | 60000 | 5.7222 |
| 5.7087 | 0.0714 | 70000 | 5.6873 |
| 5.7093 | 0.0816 | 80000 | 5.6355 |
| 5.6654 | 0.0918 | 90000 | 5.5949 |
| 5.6532 | 0.1020 | 100000 | 5.5734 |
| 5.6147 | 0.1122 | 110000 | 5.5327 |
| 5.6729 | 0.1224 | 120000 | 5.5168 |
| 5.5226 | 0.1327 | 130000 | 5.4808 |
| 5.4966 | 0.1429 | 140000 | 5.4611 |
| 5.4708 | 0.1531 | 150000 | 5.4348 |
| 5.4733 | 0.1633 | 160000 | 5.4144 |
| 5.4892 | 0.1735 | 170000 | 5.3892 |
| 5.5325 | 0.1837 | 180000 | 5.3728 |
| 5.4798 | 0.1939 | 190000 | 5.3587 |
| 5.4556 | 0.2041 | 200000 | 5.3404 |
| 5.3283 | 0.2143 | 210000 | 5.3255 |
| 5.3728 | 0.2245 | 220000 | 5.3096 |
| 5.42 | 0.2347 | 230000 | 5.3045 |
| 5.4695 | 0.2449 | 240000 | 5.2806 |
| 5.3529 | 0.2551 | 250000 | 5.2689 |
| 5.3567 | 0.2653 | 260000 | 5.2556 |
| 5.2927 | 0.2755 | 270000 | 5.2452 |
| 5.3838 | 0.2857 | 280000 | 5.2276 |
| 5.3734 | 0.2959 | 290000 | 5.2212 |
| 5.3353 | 0.3061 | 300000 | 5.2074 |
| 5.392 | 0.3163 | 310000 | 5.2042 |
| 5.3286 | 0.3265 | 320000 | 5.2012 |
| 5.3774 | 0.3367 | 330000 | 5.1871 |
| 5.2164 | 0.3469 | 340000 | 5.1758 |
| 5.3587 | 0.3571 | 350000 | 5.1685 |
| 5.3574 | 0.3673 | 360000 | 5.1575 |
| 5.2087 | 0.3776 | 370000 | 5.1482 |
| 5.1612 | 0.3878 | 380000 | 5.1489 |
| 5.225 | 0.3980 | 390000 | 5.1398 |
| 5.241 | 0.4082 | 400000 | 5.1222 |
| 5.2267 | 0.4184 | 410000 | 5.1288 |
| 5.1924 | 0.4286 | 420000 | 5.1110 |
| 5.2413 | 0.4388 | 430000 | 5.1047 |
| 5.2015 | 0.4490 | 440000 | 5.1049 |
| 5.2847 | 0.4592 | 450000 | 5.0944 |
| 5.1406 | 0.4694 | 460000 | 5.0888 |
| 5.1992 | 0.4796 | 470000 | 5.0786 |
| 5.0754 | 0.4898 | 480000 | 5.0810 |
| 5.1644 | 0.5 | 490000 | 5.0697 |
| 5.1464 | 0.5102 | 500000 | 5.0609 |
| 5.1771 | 0.5204 | 510000 | 5.0560 |
| 5.1896 | 0.5306 | 520000 | 5.0574 |
| 5.1355 | 0.5408 | 530000 | 5.0498 |
| 5.115 | 0.5510 | 540000 | 5.0494 |
| 5.1575 | 0.5612 | 550000 | 5.0357 |
| 5.191 | 0.5714 | 560000 | 5.0305 |
| 5.1694 | 0.5816 | 570000 | 5.0303 |
| 5.1591 | 0.5918 | 580000 | 5.0267 |
| 5.138 | 0.6020 | 590000 | 5.0264 |
| 5.0825 | 0.6122 | 600000 | 5.0195 |
| 5.1669 | 0.6224 | 610000 | 5.0147 |
| 5.0309 | 0.6327 | 620000 | 5.0156 |
| 5.0886 | 0.6429 | 630000 | 5.0077 |
| 5.1049 | 0.6531 | 640000 | 5.0021 |
| 5.1385 | 0.6633 | 650000 | 5.0052 |
| 5.1294 | 0.6735 | 660000 | 4.9955 |
| 5.0726 | 0.6837 | 670000 | 4.9947 |
| 5.1084 | 0.6939 | 680000 | 4.9912 |
| 5.0205 | 0.7041 | 690000 | 4.9869 |
| 5.111 | 0.7143 | 700000 | 4.9826 |
| 5.0809 | 0.7245 | 710000 | 4.9773 |
| 5.1221 | 0.7347 | 720000 | 4.9775 |
| 5.1516 | 0.7449 | 730000 | 4.9721 |
| 5.1347 | 0.7551 | 740000 | 4.9655 |
| 5.0744 | 0.7653 | 750000 | 4.9664 |
| 5.0715 | 0.7755 | 760000 | 4.9626 |
| 5.1118 | 0.7857 | 770000 | 4.9592 |
| 5.0933 | 0.7959 | 780000 | 4.9558 |
| 5.0685 | 0.8061 | 790000 | 4.9543 |
| 5.1237 | 0.8163 | 800000 | 4.9514 |
| 4.9532 | 0.8265 | 810000 | 4.9493 |
| 5.0854 | 0.8367 | 820000 | 4.9478 |
| 5.0865 | 0.8469 | 830000 | 4.9417 |
| 5.085 | 0.8571 | 840000 | 4.9419 |
| 5.0835 | 0.8673 | 850000 | 4.9385 |
| 5.0347 | 0.8776 | 860000 | 4.9345 |
| 4.9784 | 0.8878 | 870000 | 4.9332 |
| 5.0046 | 0.8980 | 880000 | 4.9317 |
| 4.9069 | 0.9082 | 890000 | 4.9296 |
| 5.0209 | 0.9184 | 900000 | 4.9270 |
| 5.1551 | 0.9286 | 910000 | 4.9234 |
| 5.1849 | 0.9388 | 920000 | 4.9230 |
| 5.07 | 0.9490 | 930000 | 4.9200 |
| 4.9804 | 0.9592 | 940000 | 4.9195 |
| 5.0419 | 0.9694 | 950000 | 4.9174 |
| 5.0447 | 0.9796 | 960000 | 4.9165 |
| 5.0839 | 0.9898 | 970000 | 4.9161 |
| 4.9989 | 1.0 | 980000 | 4.9145 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024