en_wiki_mlm_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2011
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: 30
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.1319 | 2000 | 7.8720 |
| 7.9236 | 2.2637 | 4000 | 7.1074 |
| 7.9236 | 3.3956 | 6000 | 7.0304 |
| 7.0257 | 4.5274 | 8000 | 6.9532 |
| 7.0257 | 5.6593 | 10000 | 6.8760 |
| 6.8811 | 6.7912 | 12000 | 6.8110 |
| 6.8811 | 7.9230 | 14000 | 6.7316 |
| 6.7587 | 9.0549 | 16000 | 6.6892 |
| 6.7587 | 10.1868 | 18000 | 6.6501 |
| 6.6566 | 11.3186 | 20000 | 6.5951 |
| 6.6566 | 12.4505 | 22000 | 6.5255 |
| 6.546 | 13.5823 | 24000 | 6.4406 |
| 6.546 | 14.7142 | 26000 | 6.3165 |
| 6.3494 | 15.8461 | 28000 | 6.1499 |
| 6.3494 | 16.9779 | 30000 | 5.9410 |
| 6.0156 | 18.1098 | 32000 | 5.6377 |
| 6.0156 | 19.2417 | 34000 | 5.1174 |
| 5.2999 | 20.3735 | 36000 | 4.8551 |
| 5.2999 | 21.5054 | 38000 | 4.6650 |
| 4.7633 | 22.6372 | 40000 | 4.4964 |
| 4.7633 | 23.7691 | 42000 | 4.3249 |
| 4.4471 | 24.9010 | 44000 | 4.2117 |
| 4.4471 | 26.0328 | 46000 | 4.0767 |
| 4.1884 | 27.1647 | 48000 | 3.9930 |
| 4.1884 | 28.2965 | 50000 | 3.9030 |
| 3.9939 | 29.4284 | 52000 | 3.8126 |
| 3.9939 | 30.5603 | 54000 | 3.7701 |
| 3.8479 | 31.6921 | 56000 | 3.6775 |
| 3.8479 | 32.8240 | 58000 | 3.6432 |
| 3.7265 | 33.9559 | 60000 | 3.5951 |
| 3.7265 | 35.0877 | 62000 | 3.5470 |
| 3.6305 | 36.2196 | 64000 | 3.5206 |
| 3.6305 | 37.3514 | 66000 | 3.4949 |
| 3.5483 | 38.4833 | 68000 | 3.4768 |
| 3.5483 | 39.6152 | 70000 | 3.4227 |
| 3.4798 | 40.7470 | 72000 | 3.3735 |
| 3.4798 | 41.8789 | 74000 | 3.3894 |
| 3.4256 | 43.0108 | 76000 | 3.3543 |
| 3.4256 | 44.1426 | 78000 | 3.3211 |
| 3.3707 | 45.2745 | 80000 | 3.3156 |
| 3.3707 | 46.4063 | 82000 | 3.2899 |
| 3.3325 | 47.5382 | 84000 | 3.2545 |
| 3.3325 | 48.6701 | 86000 | 3.2459 |
| 3.2983 | 49.8019 | 88000 | 3.2607 |
| 3.2983 | 50.9338 | 90000 | 3.2458 |
| 3.2655 | 52.0656 | 92000 | 3.2131 |
| 3.2655 | 53.1975 | 94000 | 3.2023 |
| 3.2442 | 54.3294 | 96000 | 3.1815 |
| 3.2442 | 55.4612 | 98000 | 3.1892 |
| 3.2225 | 56.5931 | 100000 | 3.2011 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- -