update model card README.md

README.md

@@ -0,0 +1,77 @@
+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- xtreme
+metrics:
+- f1
+model-index:
+- name: xlm-roberta-base-finetuned-panx-de
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: xtreme
+      type: xtreme
+      config: PAN-X.de
+      split: validation
+      args: PAN-X.de
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.8616659101225601
+---
+
+<!-- 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. -->
+
+# xlm-roberta-base-finetuned-panx-de
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1329
+- F1: 0.8617
+
+## 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: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2568        | 1.0   | 525  | 0.1583          | 0.8125 |
+| 0.1261        | 2.0   | 1050 | 0.1458          | 0.8473 |
+| 0.0823        | 3.0   | 1575 | 0.1329          | 0.8617 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3