Downloads · 30 days
17
30% of all-time downloads
exceptions_exp2_swap_0.3_last_to_drop_3591
craa/exceptions_exp2_swap_0.3_last_to_drop_3591
exceptions_exp2_swap_0.3_last_to_drop_3591 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. --
All-time downloads
57
Public
Parameters
124M
498 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors498 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Dec 10, 2025
- Updated
- Dec 11, 2025
- SHA
- 593b4a16
Try a prompt
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. -->
exceptions_exp2_swap_0.3_last_to_drop_3591
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5611
- Accuracy: 0.3692
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: 16
- eval_batch_size: 16
- seed: 3591
- gradient_accumulation_steps: 5
- total_train_batch_size: 80
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 50.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.8307 | 0.2915 | 1000 | 4.7528 | 0.2547 |
| 4.3399 | 0.5830 | 2000 | 4.2888 | 0.2988 |
| 4.1412 | 0.8745 | 3000 | 4.0976 | 0.3150 |
| 3.999 | 1.1659 | 4000 | 3.9911 | 0.3247 |
| 3.9366 | 1.4574 | 5000 | 3.9156 | 0.3315 |
| 3.8932 | 1.7488 | 6000 | 3.8589 | 0.3366 |
| 3.7472 | 2.0402 | 7000 | 3.8156 | 0.3406 |
| 3.7682 | 2.3317 | 8000 | 3.7874 | 0.3440 |
| 3.7343 | 2.6232 | 9000 | 3.7559 | 0.3465 |
| 3.7197 | 2.9147 | 10000 | 3.7309 | 0.3487 |
| 3.6492 | 3.2061 | 11000 | 3.7177 | 0.3511 |
| 3.6586 | 3.4976 | 12000 | 3.6991 | 0.3525 |
| 3.6414 | 3.7891 | 13000 | 3.6815 | 0.3543 |
| 3.5561 | 4.0805 | 14000 | 3.6759 | 0.3554 |
| 3.577 | 4.3719 | 15000 | 3.6633 | 0.3563 |
| 3.5849 | 4.6634 | 16000 | 3.6510 | 0.3577 |
| 3.587 | 4.9549 | 17000 | 3.6385 | 0.3591 |
| 3.509 | 5.2463 | 18000 | 3.6400 | 0.3596 |
| 3.5213 | 5.5378 | 19000 | 3.6289 | 0.3604 |
| 3.5433 | 5.8293 | 20000 | 3.6175 | 0.3614 |
| 3.4371 | 6.1207 | 21000 | 3.6213 | 0.3615 |
| 3.4752 | 6.4122 | 22000 | 3.6150 | 0.3622 |
| 3.4955 | 6.7037 | 23000 | 3.6015 | 0.3633 |
| 3.5007 | 6.9952 | 24000 | 3.5953 | 0.3639 |
| 3.4315 | 7.2865 | 25000 | 3.6035 | 0.3638 |
| 3.4545 | 7.5780 | 26000 | 3.5948 | 0.3646 |
| 3.4606 | 7.8695 | 27000 | 3.5853 | 0.3654 |
| 3.3771 | 8.1609 | 28000 | 3.5933 | 0.3651 |
| 3.412 | 8.4524 | 29000 | 3.5879 | 0.3655 |
| 3.4258 | 8.7439 | 30000 | 3.5777 | 0.3663 |
| 3.3274 | 9.0353 | 31000 | 3.5839 | 0.3664 |
| 3.3857 | 9.3268 | 32000 | 3.5825 | 0.3668 |
| 3.4067 | 9.6183 | 33000 | 3.5739 | 0.3672 |
| 3.4288 | 9.9098 | 34000 | 3.5648 | 0.3679 |
| 3.3344 | 10.2011 | 35000 | 3.5775 | 0.3675 |
| 3.3684 | 10.4926 | 36000 | 3.5698 | 0.3681 |
| 3.394 | 10.7841 | 37000 | 3.5625 | 0.3685 |
| 3.2872 | 11.0755 | 38000 | 3.5743 | 0.3684 |
| 3.3392 | 11.3670 | 39000 | 3.5675 | 0.3683 |
| 3.3675 | 11.6585 | 40000 | 3.5611 | 0.3692 |
| 3.377 | 11.9500 | 41000 | 3.5557 | 0.3693 |
| 3.3208 | 12.2414 | 42000 | 3.5674 | 0.3687 |
| 3.3352 | 12.5329 | 43000 | 3.5571 | 0.3696 |
| 3.3566 | 12.8243 | 44000 | 3.5539 | 0.3703 |
| 3.2877 | 13.1157 | 45000 | 3.5664 | 0.3696 |
| 3.304 | 13.4072 | 46000 | 3.5602 | 0.3700 |
| 3.3343 | 13.6987 | 47000 | 3.5514 | 0.3703 |
| 3.348 | 13.9902 | 48000 | 3.5433 | 0.3707 |
| 3.2943 | 14.2816 | 49000 | 3.5629 | 0.3701 |
| 3.309 | 14.5731 | 50000 | 3.5542 | 0.3708 |
| 3.3244 | 14.8646 | 51000 | 3.5442 | 0.3712 |
| 3.2472 | 15.1559 | 52000 | 3.5590 | 0.3708 |
| 3.2813 | 15.4474 | 53000 | 3.5533 | 0.3710 |
| 3.2968 | 15.7389 | 54000 | 3.5465 | 0.3716 |
| 3.2181 | 16.0303 | 55000 | 3.5576 | 0.3709 |
| 3.2577 | 16.3218 | 56000 | 3.5567 | 0.3710 |
| 3.2813 | 16.6133 | 57000 | 3.5463 | 0.3716 |
| 3.3009 | 16.9048 | 58000 | 3.5392 | 0.3722 |
| 3.2308 | 17.1962 | 59000 | 3.5570 | 0.3713 |
| 3.2594 | 17.4877 | 60000 | 3.5497 | 0.3717 |
| 3.279 | 17.7792 | 61000 | 3.5440 | 0.3720 |
| 3.2003 | 18.0705 | 62000 | 3.5573 | 0.3714 |
| 3.2396 | 18.3620 | 63000 | 3.5517 | 0.3719 |
| 3.2702 | 18.6535 | 64000 | 3.5449 | 0.3723 |
| 3.2764 | 18.9450 | 65000 | 3.5358 | 0.3728 |
| 3.217 | 19.2364 | 66000 | 3.5490 | 0.3719 |
| 3.2504 | 19.5279 | 67000 | 3.5482 | 0.3722 |
| 3.2675 | 19.8194 | 68000 | 3.5371 | 0.3730 |
| 3.1747 | 20.1108 | 69000 | 3.5570 | 0.3720 |
| 3.2261 | 20.4023 | 70000 | 3.5480 | 0.3729 |
| 3.2419 | 20.6938 | 71000 | 3.5406 | 0.3730 |
| 3.2373 | 20.9853 | 72000 | 3.5357 | 0.3732 |
| 3.2006 | 21.2766 | 73000 | 3.5510 | 0.3724 |
| 3.2397 | 21.5681 | 74000 | 3.5452 | 0.3728 |
| 3.2436 | 21.8596 | 75000 | 3.5327 | 0.3735 |
| 3.1737 | 22.1510 | 76000 | 3.5524 | 0.3729 |
| 3.2065 | 22.4425 | 77000 | 3.5469 | 0.3728 |
| 3.2299 | 22.7340 | 78000 | 3.5368 | 0.3734 |
| 3.1314 | 23.0254 | 79000 | 3.5550 | 0.3730 |
| 3.1791 | 23.3169 | 80000 | 3.5532 | 0.3728 |
| 3.2121 | 23.6083 | 81000 | 3.5387 | 0.3733 |
| 3.2298 | 23.8998 | 82000 | 3.5360 | 0.3739 |
| 3.1542 | 24.1912 | 83000 | 3.5532 | 0.3730 |
| 3.1837 | 24.4827 | 84000 | 3.5471 | 0.3735 |
| 3.212 | 24.7742 | 85000 | 3.5388 | 0.3738 |
| 3.1334 | 25.0656 | 86000 | 3.5558 | 0.3730 |
| 3.168 | 25.3571 | 87000 | 3.5501 | 0.3733 |
| 3.1905 | 25.6486 | 88000 | 3.5455 | 0.3734 |
| 3.2034 | 25.9401 | 89000 | 3.5347 | 0.3745 |
| 3.1402 | 26.2314 | 90000 | 3.5523 | 0.3736 |
| 3.1817 | 26.5229 | 91000 | 3.5460 | 0.3740 |
| 3.2001 | 26.8144 | 92000 | 3.5371 | 0.3744 |
| 3.1347 | 27.1058 | 93000 | 3.5538 | 0.3734 |
| 3.1525 | 27.3973 | 94000 | 3.5473 | 0.3737 |
| 3.1895 | 27.6888 | 95000 | 3.5404 | 0.3740 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Dec 10, 2025
- Updated
- Dec 11, 2025