update model card README.md

README.md

@@ -0,0 +1,76 @@
+---
+license: cc-by-nc-4.0
+tags:
+- generated_from_trainer
+datasets:
+- sst2
+metrics:
+- accuracy
+- f1
+model-index:
+- name: finetuning-xlm-mlm-en-2048-on-sst2
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: sst2
+      type: sst2
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5091743119266054
+    - name: F1
+      type: f1
+      value: 0.6747720364741641
+---
+
+<!-- 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. -->
+
+# finetuning-xlm-mlm-en-2048-on-sst2
+
+This model is a fine-tuned version of [xlm-mlm-en-2048](https://huggingface.co/xlm-mlm-en-2048) on the sst2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6985
+- Accuracy: 0.5092
+- F1: 0.6748
+
+## 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: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3