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-en
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: xtreme
+      type: xtreme
+      config: PAN-X.en
+      split: validation
+      args: PAN-X.en
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.6856504745951982
+---
+
+<!-- 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-en
+
+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: 0.3963
+- F1: 0.6857
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.1492        | 1.0   | 50   | 0.5984          | 0.5425 |
+| 0.5072        | 2.0   | 100  | 0.4348          | 0.6530 |
+| 0.3796        | 3.0   | 150  | 0.3963          | 0.6857 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.1.0.dev20230810
+- Datasets 2.14.3
+- Tokenizers 0.13.3