metadata
tags:
- generated_from_trainer
model-index:
- name: timesheet_estimator
results: []
timesheet_estimator
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7537
- Mse: 0.7537
- Rmse: 0.8681
- Mae: 0.6368
- R2: 0.2520
- Smape: 120.6022
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 | Mae | Mse | R2 | Rmse | Smape |
|---|---|---|---|---|---|---|---|---|
| No log | 0.46 | 300 | 0.8953 | 0.7207 | 0.8953 | 0.1396 | 0.9462 | 135.3075 |
| No log | 0.91 | 600 | 0.7537 | 0.7537 | 0.8681 | 0.6368 | 0.2520 | 120.6022 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.0