--- tags: - generated_from_trainer model-index: - name: binding-c-command-lstm-0 results: [] --- # binding-c-command-lstm-0 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: 3.9699 ## 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: 0 - 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 | |:-------------:|:-----:|:-------:|:---------------:| | 4.7849 | 0.03 | 76320 | 4.7520 | | 4.4971 | 1.03 | 152640 | 4.4703 | | 4.3536 | 0.03 | 228960 | 4.3355 | | 4.2709 | 1.03 | 305280 | 4.2524 | | 4.206 | 0.03 | 381600 | 4.1975 | | 4.1616 | 1.03 | 457920 | 4.1573 | | 4.1284 | 0.03 | 534240 | 4.1268 | | 4.0967 | 1.03 | 610560 | 4.1031 | | 4.0659 | 0.03 | 686880 | 4.0840 | | 4.0401 | 1.03 | 763200 | 4.0679 | | 4.0167 | 0.03 | 839520 | 4.0552 | | 4.0005 | 1.03 | 915840 | 4.0439 | | 3.9844 | 0.03 | 992160 | 4.0350 | | 3.9656 | 1.03 | 1068480 | 4.0262 | | 3.9508 | 0.03 | 1144800 | 4.0199 | | 3.9442 | 1.03 | 1221120 | 4.0137 | | 3.9318 | 0.03 | 1297440 | 4.0092 | | 3.9226 | 1.03 | 1373760 | 4.0047 | | 3.9116 | 0.03 | 1450080 | 4.0008 | | 3.91 | 0.03 | 1526400 | 3.9970 | | 3.9028 | 1.03 | 1602720 | 3.9944 | | 3.8998 | 0.03 | 1679040 | 3.9919 | | 3.8979 | 1.03 | 1755360 | 3.9885 | | 3.893 | 0.03 | 1831680 | 3.9866 | | 3.8854 | 1.03 | 1908000 | 3.9844 | | 3.8768 | 0.03 | 1984320 | 3.9829 | | 3.8695 | 1.03 | 2060640 | 3.9813 | | 3.8658 | 0.03 | 2136960 | 3.9796 | | 3.8615 | 1.03 | 2213280 | 3.9785 | | 3.8517 | 0.03 | 2289600 | 3.9774 | | 3.8459 | 1.03 | 2365920 | 3.9757 | | 3.8477 | 0.03 | 2442240 | 3.9747 | | 3.8416 | 1.03 | 2518560 | 3.9740 | | 3.8388 | 0.03 | 2594880 | 3.9732 | | 3.8335 | 1.03 | 2671200 | 3.9725 | | 3.8381 | 0.03 | 2747520 | 3.9716 | | 3.8357 | 1.03 | 2823840 | 3.9712 | | 3.8372 | 0.03 | 2900160 | 3.9706 | | 3.8402 | 0.03 | 2976480 | 3.9704 | | 3.841 | 1.02 | 3052726 | 3.9699 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.3