child_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9591
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.2096 | 2000 | 7.0127 |
| 6.9808 | 2.4191 | 4000 | 5.9681 |
| 6.9808 | 3.6287 | 6000 | 5.8316 |
| 5.5564 | 4.8382 | 8000 | 5.7332 |
| 5.5564 | 6.0478 | 10000 | 5.6365 |
| 5.377 | 7.2573 | 12000 | 5.5691 |
| 5.377 | 8.4669 | 14000 | 5.4849 |
| 5.2322 | 9.6764 | 16000 | 5.4389 |
| 5.2322 | 10.8860 | 18000 | 5.3896 |
| 5.1296 | 12.0956 | 20000 | 5.3329 |
| 5.1296 | 13.3051 | 22000 | 5.3073 |
| 5.0584 | 14.5147 | 24000 | 5.2727 |
| 5.0584 | 15.7242 | 26000 | 5.2309 |
| 4.9626 | 16.9338 | 28000 | 5.1419 |
| 4.9626 | 18.1433 | 30000 | 4.6512 |
| 4.3128 | 19.3529 | 32000 | 3.7585 |
| 4.3128 | 20.5624 | 34000 | 3.4438 |
| 3.2698 | 21.7720 | 36000 | 3.2057 |
| 3.2698 | 22.9816 | 38000 | 3.0099 |
| 2.8429 | 24.1911 | 40000 | 2.8444 |
| 2.8429 | 25.4007 | 42000 | 2.7175 |
| 2.5687 | 26.6102 | 44000 | 2.6260 |
| 2.5687 | 27.8198 | 46000 | 2.5344 |
| 2.3909 | 29.0293 | 48000 | 2.4779 |
| 2.3909 | 30.2389 | 50000 | 2.4240 |
| 2.2679 | 31.4484 | 52000 | 2.3533 |
| 2.2679 | 32.6580 | 54000 | 2.3366 |
| 2.1814 | 33.8676 | 56000 | 2.2728 |
| 2.1814 | 35.0771 | 58000 | 2.2539 |
| 2.1098 | 36.2867 | 60000 | 2.2392 |
| 2.1098 | 37.4962 | 62000 | 2.2166 |
| 2.0509 | 38.7058 | 64000 | 2.1762 |
| 2.0509 | 39.9153 | 66000 | 2.1642 |
| 2.0029 | 41.1249 | 68000 | 2.1580 |
| 2.0029 | 42.3344 | 70000 | 2.1081 |
| 1.9585 | 43.5440 | 72000 | 2.1156 |
| 1.9585 | 44.7536 | 74000 | 2.0962 |
| 1.9297 | 45.9631 | 76000 | 2.0839 |
| 1.9297 | 47.1727 | 78000 | 2.0424 |
| 1.8972 | 48.3822 | 80000 | 2.0514 |
| 1.8972 | 49.5918 | 82000 | 2.0307 |
| 1.8746 | 50.8013 | 84000 | 2.0233 |
| 1.8746 | 52.0109 | 86000 | 2.0000 |
| 1.8496 | 53.2204 | 88000 | 2.0079 |
| 1.8496 | 54.4300 | 90000 | 2.0084 |
| 1.8335 | 55.6396 | 92000 | 1.9988 |
| 1.8335 | 56.8491 | 94000 | 1.9736 |
| 1.8211 | 58.0587 | 96000 | 1.9785 |
| 1.8211 | 59.2682 | 98000 | 1.9865 |
| 1.8094 | 60.4778 | 100000 | 1.9591 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 12