de_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: 4.0375
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 | 1.0796 | 2000 | 7.8013 |
| 7.9145 | 2.1592 | 4000 | 7.0872 |
| 7.9145 | 3.2389 | 6000 | 6.6353 |
| 6.6919 | 4.3185 | 8000 | 6.2753 |
| 6.6919 | 5.3981 | 10000 | 5.9640 |
| 6.0331 | 6.4777 | 12000 | 5.6939 |
| 6.0331 | 7.5574 | 14000 | 5.4531 |
| 5.5261 | 8.6370 | 16000 | 5.2534 |
| 5.5261 | 9.7166 | 18000 | 5.0814 |
| 5.1455 | 10.7962 | 20000 | 4.9420 |
| 5.1455 | 11.8758 | 22000 | 4.8196 |
| 4.8678 | 12.9555 | 24000 | 4.7144 |
| 4.8678 | 14.0351 | 26000 | 4.6195 |
| 4.6498 | 15.1147 | 28000 | 4.5415 |
| 4.6498 | 16.1943 | 30000 | 4.4792 |
| 4.4749 | 17.2740 | 32000 | 4.4163 |
| 4.4749 | 18.3536 | 34000 | 4.3686 |
| 4.3329 | 19.4332 | 36000 | 4.3249 |
| 4.3329 | 20.5128 | 38000 | 4.2838 |
| 4.2153 | 21.5924 | 40000 | 4.2503 |
| 4.2153 | 22.6721 | 42000 | 4.2175 |
| 4.105 | 23.7517 | 44000 | 4.1878 |
| 4.105 | 24.8313 | 46000 | 4.1638 |
| 4.0056 | 25.9109 | 48000 | 4.1418 |
| 4.0056 | 26.9906 | 50000 | 4.1273 |
| 3.9206 | 28.0702 | 52000 | 4.1156 |
| 3.9206 | 29.1498 | 54000 | 4.1051 |
| 3.8488 | 30.2294 | 56000 | 4.0962 |
| 3.8488 | 31.3090 | 58000 | 4.0877 |
| 3.7907 | 32.3887 | 60000 | 4.0822 |
| 3.7907 | 33.4683 | 62000 | 4.0746 |
| 3.7405 | 34.5479 | 64000 | 4.0698 |
| 3.7405 | 35.6275 | 66000 | 4.0621 |
| 3.6943 | 36.7072 | 68000 | 4.0587 |
| 3.6943 | 37.7868 | 70000 | 4.0554 |
| 3.6534 | 38.8664 | 72000 | 4.0520 |
| 3.6534 | 39.9460 | 74000 | 4.0502 |
| 3.6158 | 41.0256 | 76000 | 4.0489 |
| 3.6158 | 42.1053 | 78000 | 4.0538 |
| 3.5796 | 43.1849 | 80000 | 4.0492 |
| 3.5796 | 44.2645 | 82000 | 4.0464 |
| 3.5501 | 45.3441 | 84000 | 4.0478 |
| 3.5501 | 46.4238 | 86000 | 4.0443 |
| 3.5235 | 47.5034 | 88000 | 4.0431 |
| 3.5235 | 48.5830 | 90000 | 4.0419 |
| 3.4985 | 49.6626 | 92000 | 4.0406 |
| 3.4985 | 50.7422 | 94000 | 4.0393 |
| 3.4768 | 51.8219 | 96000 | 4.0391 |
| 3.4768 | 52.9015 | 98000 | 4.0383 |
| 3.458 | 53.9811 | 100000 | 4.0375 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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