metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: wikipedia_30
results: []
wikipedia_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2325
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0518 | 2000 | 7.5189 |
| 7.6141 | 2.1036 | 4000 | 6.5682 |
| 7.6141 | 3.1554 | 6000 | 6.1693 |
| 6.2396 | 4.2072 | 8000 | 5.9016 |
| 6.2396 | 5.2590 | 10000 | 5.6737 |
| 5.7217 | 6.3108 | 12000 | 5.4600 |
| 5.7217 | 7.3626 | 14000 | 5.2725 |
| 5.3064 | 8.4144 | 16000 | 5.1075 |
| 5.3064 | 9.4662 | 18000 | 4.9717 |
| 4.9744 | 10.5180 | 20000 | 4.8649 |
| 4.9744 | 11.5698 | 22000 | 4.7635 |
| 4.7273 | 12.6216 | 24000 | 4.6833 |
| 4.7273 | 13.6734 | 26000 | 4.6216 |
| 4.5397 | 14.7252 | 28000 | 4.5626 |
| 4.5397 | 15.7770 | 30000 | 4.5062 |
| 4.3839 | 16.8288 | 32000 | 4.4644 |
| 4.3839 | 17.8806 | 34000 | 4.4263 |
| 4.2529 | 18.9324 | 36000 | 4.3944 |
| 4.2529 | 19.9842 | 38000 | 4.3651 |
| 4.1409 | 21.0360 | 40000 | 4.3513 |
| 4.1409 | 22.0878 | 42000 | 4.3216 |
| 4.0334 | 23.1396 | 44000 | 4.3008 |
| 4.0334 | 24.1914 | 46000 | 4.2791 |
| 3.9378 | 25.2432 | 48000 | 4.2719 |
| 3.9378 | 26.2950 | 50000 | 4.2624 |
| 3.8595 | 27.3468 | 52000 | 4.2532 |
| 3.8595 | 28.3986 | 54000 | 4.2432 |
| 3.7927 | 29.4504 | 56000 | 4.2378 |
| 3.7927 | 30.5022 | 58000 | 4.2377 |
| 3.7367 | 31.5540 | 60000 | 4.2334 |
| 3.7367 | 32.6058 | 62000 | 4.2300 |
| 3.6869 | 33.6576 | 64000 | 4.2269 |
| 3.6869 | 34.7094 | 66000 | 4.2245 |
| 3.6416 | 35.7612 | 68000 | 4.2257 |
| 3.6416 | 36.8130 | 70000 | 4.2206 |
| 3.6032 | 37.8648 | 72000 | 4.2247 |
| 3.6032 | 38.9166 | 74000 | 4.2272 |
| 3.5669 | 39.9684 | 76000 | 4.2262 |
| 3.5669 | 41.0202 | 78000 | 4.2309 |
| 3.533 | 42.0720 | 80000 | 4.2304 |
| 3.533 | 43.1238 | 82000 | 4.2290 |
| 3.5033 | 44.1757 | 84000 | 4.2331 |
| 3.5033 | 45.2275 | 86000 | 4.2322 |
| 3.4759 | 46.2793 | 88000 | 4.2311 |
| 3.4759 | 47.3311 | 90000 | 4.2341 |
| 3.4528 | 48.3829 | 92000 | 4.2348 |
| 3.4528 | 49.4347 | 94000 | 4.2326 |
| 3.4319 | 50.4865 | 96000 | 4.2331 |
| 3.4319 | 51.5383 | 98000 | 4.2326 |
| 3.4136 | 52.5901 | 100000 | 4.2325 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1