--- tags: - generated_from_trainer model-index: - name: timesheet_estimator results: [] --- # timesheet_estimator 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: 0.6674 - Mse: 0.6674 - Rmse: 0.8169 - Mae: 0.5948 - R2: 0.3295 - Smape: 109.9213 ## 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: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 | Smape | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:--------:| | No log | 0.46 | 300 | 0.7945 | 0.7945 | 0.8914 | 0.6404 | 0.2018 | 120.6558 | | No log | 0.91 | 600 | 0.6674 | 0.6674 | 0.8169 | 0.5948 | 0.3295 | 109.9213 | ### Framework versions - Transformers 4.29.1 - Pytorch 1.13.1 - Datasets 2.9.0 - Tokenizers 0.13.0