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100M_low_500_495
craa/100M_low_500_495
100M_low_500_495 is a text generation model from craa. 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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44.3 GB on disk
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.pt10.1 GB · 64%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Oct 31, 2024
- Updated
- Dec 17, 2024
- SHA
- 8e00435d
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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. -->
100M_low_500_495
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3007
- Accuracy: 0.3945
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 16
- seed: 495
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.0925 | 0.1078 | 1000 | 5.0207 | 0.2273 |
| 4.5826 | 0.2156 | 2000 | 4.5255 | 0.2688 |
| 4.3361 | 0.3235 | 3000 | 4.2429 | 0.2974 |
| 4.1659 | 0.4313 | 4000 | 4.0975 | 0.3122 |
| 4.0552 | 0.5391 | 5000 | 3.9984 | 0.3209 |
| 4.0014 | 0.6469 | 6000 | 3.9248 | 0.3272 |
| 3.9359 | 0.7547 | 7000 | 3.8724 | 0.3323 |
| 3.8791 | 0.8625 | 8000 | 3.8246 | 0.3367 |
| 3.8491 | 0.9704 | 9000 | 3.7871 | 0.3408 |
| 3.7685 | 1.0782 | 10000 | 3.7571 | 0.3436 |
| 3.7832 | 1.1860 | 11000 | 3.7309 | 0.3458 |
| 3.7448 | 1.2938 | 12000 | 3.7076 | 0.3478 |
| 3.717 | 1.4016 | 13000 | 3.6833 | 0.3507 |
| 3.7042 | 1.5094 | 14000 | 3.6630 | 0.3525 |
| 3.693 | 1.6173 | 15000 | 3.6447 | 0.3545 |
| 3.6681 | 1.7251 | 16000 | 3.6263 | 0.3563 |
| 3.6691 | 1.8329 | 17000 | 3.6127 | 0.3578 |
| 3.6447 | 1.9407 | 18000 | 3.5970 | 0.3588 |
| 3.587 | 2.0485 | 19000 | 3.5873 | 0.3606 |
| 3.5655 | 2.1563 | 20000 | 3.5788 | 0.3617 |
| 3.5495 | 2.2642 | 21000 | 3.5679 | 0.3628 |
| 3.5554 | 2.3720 | 22000 | 3.5587 | 0.3641 |
| 3.5481 | 2.4798 | 23000 | 3.5474 | 0.3650 |
| 3.5407 | 2.5876 | 24000 | 3.5363 | 0.3661 |
| 3.5515 | 2.6954 | 25000 | 3.5235 | 0.3672 |
| 3.5534 | 2.8032 | 26000 | 3.5183 | 0.3678 |
| 3.5398 | 2.9111 | 27000 | 3.5073 | 0.3690 |
| 3.4382 | 3.0189 | 28000 | 3.5020 | 0.3699 |
| 3.454 | 3.1267 | 29000 | 3.4990 | 0.3705 |
| 3.472 | 3.2345 | 30000 | 3.4921 | 0.3709 |
| 3.4586 | 3.3423 | 31000 | 3.4878 | 0.3720 |
| 3.4665 | 3.4501 | 32000 | 3.4812 | 0.3722 |
| 3.4546 | 3.5580 | 33000 | 3.4747 | 0.3731 |
| 3.4782 | 3.6658 | 34000 | 3.4664 | 0.3738 |
| 3.4543 | 3.7736 | 35000 | 3.4612 | 0.3742 |
| 3.4392 | 3.8814 | 36000 | 3.4534 | 0.3750 |
| 3.4613 | 3.9892 | 37000 | 3.4493 | 0.3755 |
| 3.3757 | 4.0970 | 38000 | 3.4521 | 0.3764 |
| 3.3854 | 4.2049 | 39000 | 3.4457 | 0.3765 |
| 3.3893 | 4.3127 | 40000 | 3.4418 | 0.3771 |
| 3.4053 | 4.4205 | 41000 | 3.4355 | 0.3776 |
| 3.4045 | 4.5283 | 42000 | 3.4294 | 0.3784 |
| 3.3941 | 4.6361 | 43000 | 3.4254 | 0.3783 |
| 3.4 | 4.7439 | 44000 | 3.4218 | 0.3793 |
| 3.403 | 4.8518 | 45000 | 3.4149 | 0.3797 |
| 3.3859 | 4.9596 | 46000 | 3.4115 | 0.3803 |
| 3.3109 | 5.0674 | 47000 | 3.4175 | 0.3803 |
| 3.3138 | 5.1752 | 48000 | 3.4124 | 0.3808 |
| 3.3378 | 5.2830 | 49000 | 3.4071 | 0.3812 |
| 3.3421 | 5.3908 | 50000 | 3.4068 | 0.3815 |
| 3.343 | 5.4987 | 51000 | 3.4004 | 0.3821 |
| 3.3504 | 5.6065 | 52000 | 3.3944 | 0.3825 |
| 3.3439 | 5.7143 | 53000 | 3.3909 | 0.3827 |
| 3.3313 | 5.8221 | 54000 | 3.3855 | 0.3834 |
| 3.3531 | 5.9299 | 55000 | 3.3823 | 0.3837 |
| 3.2507 | 6.0377 | 56000 | 3.3856 | 0.3840 |
| 3.2697 | 6.1456 | 57000 | 3.3823 | 0.3840 |
| 3.2864 | 6.2534 | 58000 | 3.3805 | 0.3845 |
| 3.2703 | 6.3612 | 59000 | 3.3770 | 0.3850 |
| 3.2881 | 6.4690 | 60000 | 3.3736 | 0.3847 |
| 3.2802 | 6.5768 | 61000 | 3.3686 | 0.3856 |
| 3.3016 | 6.6846 | 62000 | 3.3637 | 0.3863 |
| 3.274 | 6.7925 | 63000 | 3.3623 | 0.3863 |
| 3.2783 | 6.9003 | 64000 | 3.3567 | 0.3869 |
| 3.2099 | 7.0081 | 65000 | 3.3589 | 0.3873 |
| 3.2031 | 7.1159 | 66000 | 3.3606 | 0.3869 |
| 3.2278 | 7.2237 | 67000 | 3.3592 | 0.3875 |
| 3.2282 | 7.3315 | 68000 | 3.3537 | 0.3877 |
| 3.2237 | 7.4394 | 69000 | 3.3503 | 0.3878 |
| 3.2348 | 7.5472 | 70000 | 3.3463 | 0.3884 |
| 3.2284 | 7.6550 | 71000 | 3.3422 | 0.3889 |
| 3.233 | 7.7628 | 72000 | 3.3397 | 0.3894 |
| 3.2421 | 7.8706 | 73000 | 3.3369 | 0.3895 |
| 3.2536 | 7.9784 | 74000 | 3.3328 | 0.3902 |
| 3.1647 | 8.0863 | 75000 | 3.3391 | 0.3898 |
| 3.1876 | 8.1941 | 76000 | 3.3366 | 0.3902 |
| 3.1866 | 8.3019 | 77000 | 3.3340 | 0.3905 |
| 3.1783 | 8.4097 | 78000 | 3.3318 | 0.3907 |
| 3.1778 | 8.5175 | 79000 | 3.3285 | 0.3912 |
| 3.2113 | 8.6253 | 80000 | 3.3226 | 0.3916 |
| 3.1655 | 8.7332 | 81000 | 3.3209 | 0.3917 |
| 3.1812 | 8.8410 | 82000 | 3.3189 | 0.3921 |
| 3.1955 | 8.9488 | 83000 | 3.3142 | 0.3926 |
| 3.132 | 9.0566 | 84000 | 3.3179 | 0.3925 |
| 3.1264 | 9.1644 | 85000 | 3.3165 | 0.3927 |
| 3.1268 | 9.2722 | 86000 | 3.3139 | 0.3930 |
| 3.13 | 9.3801 | 87000 | 3.3120 | 0.3932 |
| 3.1275 | 9.4879 | 88000 | 3.3094 | 0.3936 |
| 3.1298 | 9.5957 | 89000 | 3.3061 | 0.3938 |
| 3.1371 | 9.7035 | 90000 | 3.3039 | 0.3942 |
| 3.1463 | 9.8113 | 91000 | 3.3014 | 0.3944 |
| 3.1472 | 9.9191 | 92000 | 3.3007 | 0.3945 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Oct 31, 2024
- Updated
- Dec 17, 2024