Initial model upload

README.md

@@ -1,22 +1,22 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: bert-base-uncased
+license: mit
+base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
 model-index:
-- name: bert-sst2
+- name: xlmroberta-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. -->
 
-# bert-sst2
+# xlmroberta-sst2
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2521
+- Loss: 0.2600
 
 ## Model description
 
@@ -48,7 +48,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.1712        | 1.0   | 4210 | 0.2521          |
+| 0.2108        | 1.0   | 4210 | 0.2600          |
 
 
 ### Framework versions