update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: distilroberta-base
+  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. -->
+
+# distilroberta-base
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2128
+- F1 Score: 0.9697
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.301         | 1.0   | 873  | 0.1875          | 0.9409   |
+| 0.1426        | 2.0   | 1746 | 0.1306          | 0.9572   |
+| 0.0833        | 3.0   | 2619 | 0.1042          | 0.9661   |
+| 0.0671        | 4.0   | 3492 | 0.1528          | 0.9686   |
+| 0.038         | 5.0   | 4365 | 0.1612          | 0.9684   |
+| 0.0304        | 6.0   | 5238 | 0.1648          | 0.9707   |
+| 0.017         | 7.0   | 6111 | 0.2173          | 0.9665   |
+| 0.0101        | 8.0   | 6984 | 0.2048          | 0.9700   |
+| 0.0083        | 9.0   | 7857 | 0.2138          | 0.9691   |
+| 0.0066        | 10.0  | 8730 | 0.2128          | 0.9697   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3