update model card README.md

README.md

@@ -1,3 +1,61 @@
 ---
 license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: xlm-roberta-base-finetuned-panx-all
+  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. -->
+
+# xlm-roberta-base-finetuned-panx-all
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1615
+- F1: 0.8551
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2813        | 1.0   | 715  | 0.1681          | 0.8193 |
+| 0.1329        | 2.0   | 1430 | 0.1598          | 0.8414 |
+| 0.0827        | 3.0   | 2145 | 0.1615          | 0.8551 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.13.1+cu116
+- Datasets 1.16.1
+- Tokenizers 0.10.3