--- tags: - generated_from_trainer model-index: - name: binding-domain-transformer-3 results: [] --- # binding-domain-transformer-3 This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.8650 ## 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: 5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 3 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 3052726 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-------:|:---------------:| | 4.2244 | 0.03 | 76320 | 4.1909 | | 4.0211 | 1.03 | 152640 | 4.0229 | | 3.9159 | 0.03 | 228960 | 3.9493 | | 3.8498 | 1.03 | 305280 | 3.9090 | | 3.7991 | 0.03 | 381600 | 3.8841 | | 3.7593 | 1.03 | 457920 | 3.8685 | | 3.723 | 0.03 | 534240 | 3.8588 | | 3.6924 | 1.03 | 610560 | 3.8515 | | 3.6614 | 0.03 | 686880 | 3.8478 | | 3.6384 | 1.03 | 763200 | 3.8438 | | 3.615 | 0.03 | 839520 | 3.8439 | | 3.5978 | 0.03 | 915840 | 3.8436 | | 3.5793 | 1.03 | 992160 | 3.8439 | | 3.5562 | 0.03 | 1068480 | 3.8438 | | 3.5417 | 1.03 | 1144800 | 3.8447 | | 3.5316 | 0.03 | 1221120 | 3.8448 | | 3.5118 | 1.03 | 1297440 | 3.8462 | | 3.4988 | 0.03 | 1373760 | 3.8479 | | 3.487 | 1.03 | 1450080 | 3.8496 | | 3.479 | 0.03 | 1526400 | 3.8513 | | 3.4692 | 1.03 | 1602720 | 3.8529 | | 3.461 | 0.03 | 1679040 | 3.8545 | | 3.451 | 1.03 | 1755360 | 3.8554 | | 3.4373 | 0.03 | 1831680 | 3.8589 | | 3.4255 | 1.03 | 1908000 | 3.8589 | | 3.4134 | 0.03 | 1984320 | 3.8601 | | 3.4011 | 1.03 | 2060640 | 3.8621 | | 3.3925 | 0.03 | 2136960 | 3.8635 | | 3.3812 | 1.03 | 2213280 | 3.8640 | | 3.37 | 0.03 | 2289600 | 3.8647 | | 3.3613 | 1.03 | 2365920 | 3.8655 | | 3.3524 | 0.03 | 2442240 | 3.8670 | | 3.3382 | 1.03 | 2518560 | 3.8679 | | 3.3299 | 0.03 | 2594880 | 3.8672 | | 3.3211 | 1.03 | 2671200 | 3.8679 | | 3.3176 | 0.03 | 2747520 | 3.8677 | | 3.3103 | 1.03 | 2823840 | 3.8677 | | 3.3062 | 0.03 | 2900160 | 3.8672 | | 3.2996 | 1.03 | 2976480 | 3.8662 | | 3.291 | 0.02 | 3052726 | 3.8650 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.3