Child Mlm 13 Age 6 English13000

--- library_name: transformers tags: - generated_from_trainer model-index: - name: child_mlm_13_age_6_english13000 results: [] --- # child_mlm_13_age_6_english13000 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.5507 ## 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: 13 - 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 | |:-------------:|:--------:|:------:|:---------------:| | 7.9378 | 3.4247 | 2000 | 7.4307 | | 6.0025 | 6.8493 | 4000 | 6.1396 | | 5.8097 | 10.2740 | 6000 | 5.9920 | | 5.7 | 13.6986 | 8000 | 5.8852 | | 5.6229 | 17.1233 | 10000 | 5.8101 | | 5.5707 | 20.5479 | 12000 | 5.7701 | | 5.5325 | 23.9726 | 14000 | 5.7250 | | 5.5103 | 27.3973 | 16000 | 5.7187 | | 5.4926 | 30.8219 | 18000 | 5.6950 | | 5.4779 | 34.2466 | 20000 | 5.6617 | | 5.4667 | 37.6712 | 22000 | 5.6535 | | 5.4549 | 41.0959 | 24000 | 5.6407 | | 5.447 | 44.5205 | 26000 | 5.6238 | | 5.4427 | 47.9452 | 28000 | 5.6281 | | 5.4357 | 51.3699 | 30000 | 5.5902 | | 5.4273 | 54.7945 | 32000 | 5.6042 | | 5.4153 | 58.2192 | 34000 | 5.6070 | | 5.4044 | 61.6438 | 36000 | 5.5724 | | 5.3732 | 65.0685 | 38000 | 5.4713 | | 4.0475 | 68.4932 | 40000 | 3.9169 | | 3.3736 | 71.9178 | 42000 | 3.4696 | | 3.1216 | 75.3425 | 44000 | 3.2897 | | 2.9662 | 78.7671 | 46000 | 3.1836 | | 2.8611 | 82.1918 | 48000 | 3.0630 | | 2.7735 | 85.6164 | 50000 | 3.0043 | | 2.7025 | 89.0411 | 52000 | 2.9556 | | 2.6437 | 92.4658 | 54000 | 2.8897 | | 2.5936 | 95.8904 | 56000 | 2.8629 | | 2.5488 | 99.3151 | 58000 | 2.8152 | | 2.5126 | 102.7397 | 60000 | 2.7620 | | 2.4775 | 106.1644 | 62000 | 2.7396 | | 2.4513 | 109.5890 | 64000 | 2.7507 | | 2.4252 | 113.0137 | 66000 | 2.7198 | | 2.4018 | 116.4384 | 68000 | 2.6986 | | 2.3774 | 119.8630 | 70000 | 2.6626 | | 2.3545 | 123.2877 | 72000 | 2.6517 | | 2.3371 | 126.7123 | 74000 | 2.6366 | | 2.3236 | 130.1370 | 76000 | 2.6254 | | 2.3079 | 133.5616 | 78000 | 2.6190 | | 2.2943 | 136.9863 | 80000 | 2.6061 | | 2.2799 | 140.4110 | 82000 | 2.5938 | | 2.2743 | 143.8356 | 84000 | 2.5870 | | 2.2689 | 147.2603 | 86000 | 2.5730 | | 2.2521 | 150.6849 | 88000 | 2.5595 | | 2.2445 | 154.1096 | 90000 | 2.5722 | | 2.2372 | 157.5342 | 92000 | 2.5529 | | 2.2323 | 160.9589 | 94000 | 2.5445 | | 2.2302 | 164.3836 | 96000 | 2.5487 | | 2.2246 | 167.8082 | 98000 | 2.5398 | | 2.2226 | 171.2329 | 100000 | 2.5507 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.11.0+cu128 - Datasets 3.0.1 - Tokenizers 0.20.1