Initial model upload

README.md

@@ -1,27 +1,27 @@
 ---
 library_name: transformers
 license: mit
-base_model: xlm-roberta-base
+base_model: roberta-base
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 - f1
 model-index:
-- name: xlmroberta-sst2
+- name: roberta-sst2
   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. -->
 
-# xlmroberta-sst2
+# roberta-sst2
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2600
-- Accuracy: 0.9140
-- F1: 0.9139
+- Loss: 0.2142
+- Accuracy: 0.9415
+- F1: 0.9415
 
 ## Model description
 
@@ -53,7 +53,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2108        | 1.0   | 4210 | 0.2600          | 0.9140   | 0.9139 |
+| 0.2059        | 1.0   | 4210 | 0.2142          | 0.9415   | 0.9415 |
 
 
 ### Framework versions