Child Mlm 13 Age 7 English20000

--- library_name: transformers tags: - generated_from_trainer model-index: - name: child_mlm_13_age_7_english20000 results: [] --- # child_mlm_13_age_7_english20000 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: 2.5704 ## 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 | |:-------------:|:--------:|:------:|:---------------:| | 8.2841 | 3.3585 | 2000 | 7.7270 | | 6.0291 | 6.7170 | 4000 | 6.1305 | | 5.8091 | 10.0756 | 6000 | 5.9916 | | 5.698 | 13.4341 | 8000 | 5.8868 | | 5.6166 | 16.7926 | 10000 | 5.8108 | | 5.558 | 20.1511 | 12000 | 5.7603 | | 5.5254 | 23.5097 | 14000 | 5.7123 | | 5.4988 | 26.8682 | 16000 | 5.6968 | | 5.4808 | 30.2267 | 18000 | 5.6992 | | 5.4643 | 33.5852 | 20000 | 5.6614 | | 5.4534 | 36.9437 | 22000 | 5.6807 | | 5.4408 | 40.3023 | 24000 | 5.6420 | | 5.4353 | 43.6608 | 26000 | 5.6259 | | 5.4322 | 47.0193 | 28000 | 5.6326 | | 5.4234 | 50.3778 | 30000 | 5.6014 | | 5.4153 | 53.7364 | 32000 | 5.6256 | | 5.4155 | 57.0949 | 34000 | 5.6147 | | 5.4049 | 60.4534 | 36000 | 5.6082 | | 5.4005 | 63.8119 | 38000 | 5.5832 | | 5.3855 | 67.1704 | 40000 | 5.5802 | | 5.3658 | 70.5290 | 42000 | 5.5462 | | 4.0819 | 73.8875 | 44000 | 3.9602 | | 3.4064 | 77.2460 | 46000 | 3.5232 | | 3.141 | 80.6045 | 48000 | 3.3000 | | 2.9798 | 83.9631 | 50000 | 3.1618 | | 2.8586 | 87.3216 | 52000 | 3.0844 | | 2.7746 | 90.6801 | 54000 | 3.0142 | | 2.7067 | 94.0386 | 56000 | 2.9721 | | 2.6473 | 97.3971 | 58000 | 2.9117 | | 2.5961 | 100.7557 | 60000 | 2.8787 | | 2.5554 | 104.1142 | 62000 | 2.8349 | | 2.5181 | 107.4727 | 64000 | 2.7934 | | 2.4887 | 110.8312 | 66000 | 2.7957 | | 2.4563 | 114.1898 | 68000 | 2.7555 | | 2.4331 | 117.5483 | 70000 | 2.7204 | | 2.4109 | 120.9068 | 72000 | 2.7106 | | 2.391 | 124.2653 | 74000 | 2.6970 | | 2.3751 | 127.6238 | 76000 | 2.6673 | | 2.3531 | 130.9824 | 78000 | 2.6641 | | 2.3408 | 134.3409 | 80000 | 2.6521 | | 2.3283 | 137.6994 | 82000 | 2.6417 | | 2.316 | 141.0579 | 84000 | 2.6322 | | 2.3059 | 144.4165 | 86000 | 2.6191 | | 2.2941 | 147.7750 | 88000 | 2.6216 | | 2.2863 | 151.1335 | 90000 | 2.6146 | | 2.2793 | 154.4920 | 92000 | 2.6057 | | 2.2756 | 157.8505 | 94000 | 2.6026 | | 2.266 | 161.2091 | 96000 | 2.5884 | | 2.2653 | 164.5676 | 98000 | 2.5904 | | 2.26 | 167.9261 | 100000 | 2.5704 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.11.0+cu128 - Datasets 3.0.1 - Tokenizers 0.20.1