update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: timesheet_estimator
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 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: 0.6748
+- Mse: 0.6748
+- Rmse: 0.8214
+- Mae: 0.6117
+- R2: 0.3021
+- Smape: 116.1633
+
+## 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  | 0.7167          | 0.7167 | 0.8466 | 0.6374 | 0.2588 | 125.6220 |
+| No log        | 0.91  | 600  | 0.6748          | 0.6748 | 0.8214 | 0.6117 | 0.3021 | 116.1633 |
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1
+- Datasets 2.9.0
+- Tokenizers 0.13.2