Downloads · 30 days
11
6% of all-time downloads
en_wiki_clm_42_new
fpadovani/en_wiki_clm_42_new
en_wiki_clm_42_new is a text generation model from fpadovani. 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
196
Public
Parameters
12.7M
1.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.7 GB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Jun 10, 2025
- Updated
- Sep 11, 2026
- SHA
- ed34eee4
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. -->
eng_wiki_clm_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2500
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40000
- training_steps: 100000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.1319 | 2000 | 7.5640 |
| 7.6485 | 2.2637 | 4000 | 6.6731 |
| 7.6485 | 3.3956 | 6000 | 6.2793 |
| 6.3325 | 4.5274 | 8000 | 6.0141 |
| 6.3325 | 5.6593 | 10000 | 5.7784 |
| 5.8281 | 6.7912 | 12000 | 5.5657 |
| 5.8281 | 7.9230 | 14000 | 5.3671 |
| 5.4204 | 9.0549 | 16000 | 5.1972 |
| 5.4204 | 10.1868 | 18000 | 5.0524 |
| 5.096 | 11.3186 | 20000 | 4.9339 |
| 5.096 | 12.4505 | 22000 | 4.8286 |
| 4.8571 | 13.5823 | 24000 | 4.7401 |
| 4.8571 | 14.7142 | 26000 | 4.6688 |
| 4.673 | 15.8461 | 28000 | 4.5988 |
| 4.673 | 16.9779 | 30000 | 4.5444 |
| 4.5211 | 18.1098 | 32000 | 4.5015 |
| 4.5211 | 19.2417 | 34000 | 4.4587 |
| 4.3937 | 20.3735 | 36000 | 4.4241 |
| 4.3937 | 21.5054 | 38000 | 4.3971 |
| 4.2867 | 22.6372 | 40000 | 4.3672 |
| 4.2867 | 23.7691 | 42000 | 4.3372 |
| 4.1863 | 24.9010 | 44000 | 4.3134 |
| 4.1863 | 26.0328 | 46000 | 4.2987 |
| 4.0881 | 27.1647 | 48000 | 4.2874 |
| 4.0881 | 28.2965 | 50000 | 4.2760 |
| 4.0082 | 29.4284 | 52000 | 4.2657 |
| 4.0082 | 30.5603 | 54000 | 4.2634 |
| 3.944 | 31.6921 | 56000 | 4.2563 |
| 3.944 | 32.8240 | 58000 | 4.2486 |
| 3.8888 | 33.9559 | 60000 | 4.2412 |
| 3.8888 | 35.0877 | 62000 | 4.2471 |
| 3.832 | 36.2196 | 64000 | 4.2460 |
| 3.832 | 37.3514 | 66000 | 4.2430 |
| 3.7879 | 38.4833 | 68000 | 4.2406 |
| 3.7879 | 39.6152 | 70000 | 4.2424 |
| 3.7498 | 40.7470 | 72000 | 4.2400 |
| 3.7498 | 41.8789 | 74000 | 4.2369 |
| 3.7133 | 43.0108 | 76000 | 4.2430 |
| 3.7133 | 44.1426 | 78000 | 4.2447 |
| 3.6755 | 45.2745 | 80000 | 4.2489 |
| 3.6755 | 46.4063 | 82000 | 4.2471 |
| 3.6472 | 47.5382 | 84000 | 4.2504 |
| 3.6472 | 48.6701 | 86000 | 4.2484 |
| 3.6212 | 49.8019 | 88000 | 4.2470 |
| 3.6212 | 50.9338 | 90000 | 4.2485 |
| 3.5958 | 52.0656 | 92000 | 4.2497 |
| 3.5958 | 53.1975 | 94000 | 4.2502 |
| 3.573 | 54.3294 | 96000 | 4.2511 |
| 3.573 | 55.4612 | 98000 | 4.2507 |
| 3.5537 | 56.5931 | 100000 | 4.2500 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Jun 10, 2025
- Updated
- Sep 11, 2026