Update README.md

README.md

@@ -5,82 +5,11 @@ tags:
 model-index:
 - name: Tya
   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. -->
-
-# Tya
-
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 9.0425
-
-## 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: 4
-- eval_batch_size: 4
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- num_epochs: 30
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 4    | 10.2476         |
-| No log        | 2.0   | 8    | 10.2346         |
-| 10.2242       | 3.0   | 12   | 10.2122         |
-| 10.2242       | 4.0   | 16   | 10.1811         |
-| 10.1914       | 5.0   | 20   | 10.1409         |
-| 10.1914       | 6.0   | 24   | 10.0923         |
-| 10.1914       | 7.0   | 28   | 10.0357         |
-| 10.0766       | 8.0   | 32   | 9.9716          |
-| 10.0766       | 9.0   | 36   | 9.9017          |
-| 9.9563        | 10.0  | 40   | 9.8282          |
-| 9.9563        | 11.0  | 44   | 9.7509          |
-| 9.9563        | 12.0  | 48   | 9.6713          |
-| 9.7542        | 13.0  | 52   | 9.5897          |
-| 9.7542        | 14.0  | 56   | 9.5149          |
-| 9.54          | 15.0  | 60   | 9.4476          |
-| 9.54          | 16.0  | 64   | 9.3876          |
-| 9.54          | 17.0  | 68   | 9.3340          |
-| 9.417         | 18.0  | 72   | 9.2862          |
-| 9.417         | 19.0  | 76   | 9.2429          |
-| 9.2368        | 20.0  | 80   | 9.2049          |
-| 9.2368        | 21.0  | 84   | 9.1715          |
-| 9.2368        | 22.0  | 88   | 9.1426          |
-| 9.1577        | 23.0  | 92   | 9.1179          |
-| 9.1577        | 24.0  | 96   | 9.0972          |
-| 9.1191        | 25.0  | 100  | 9.0803          |
-| 9.1191        | 26.0  | 104  | 9.0667          |
-| 9.1191        | 27.0  | 108  | 9.0563          |
-| 9.0687        | 28.0  | 112  | 9.0488          |
-| 9.0687        | 29.0  | 116  | 9.0443          |
-| 9.021         | 30.0  | 120  | 9.0425          |
-
-
-### Framework versions
-
-- Transformers 4.57.1
-- Pytorch 2.8.0+cu126
-- Datasets 4.0.0
-- Tokenizers 0.22.1
+license: mit
+datasets:
+- Nora-006/Wtf-spam
+language:
+- en
+- nl
+pipeline_tag: text-generation
+---