update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: mit
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-hate-final
 
-This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+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: 0.9853
-- Accuracy: 0.7262
-- Precision: 0.7235
-- Recall: 0.7262
-- F1: 0.7243
+- Loss: 0.4961
+- Accuracy: 0.8061
+- Precision: 0.8145
+- Recall: 0.8061
+- F1: 0.7997
 
 ## Model description
 
@@ -48,22 +48,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 296  | 0.5227          | 0.7529   | 0.7878    | 0.7529 | 0.7260 |
-| 0.5473        | 2.0   | 592  | 0.5129          | 0.7557   | 0.7526    | 0.7557 | 0.7513 |
-| 0.5473        | 3.0   | 888  | 0.5007          | 0.7633   | 0.7654    | 0.7633 | 0.7533 |
-| 0.4238        | 4.0   | 1184 | 0.5590          | 0.7633   | 0.7611    | 0.7633 | 0.7576 |
-| 0.4238        | 5.0   | 1480 | 0.5999          | 0.75     | 0.7466    | 0.75   | 0.7460 |
-| 0.3175        | 6.0   | 1776 | 0.7190          | 0.7424   | 0.7387    | 0.7424 | 0.7382 |
-| 0.2202        | 7.0   | 2072 | 0.7841          | 0.7253   | 0.7213    | 0.7253 | 0.7218 |
-| 0.2202        | 8.0   | 2368 | 0.8540          | 0.7338   | 0.7301    | 0.7338 | 0.7305 |
-| 0.1635        | 9.0   | 2664 | 0.9641          | 0.7215   | 0.7207    | 0.7215 | 0.7210 |
-| 0.1635        | 10.0  | 2960 | 0.9853          | 0.7262   | 0.7235    | 0.7262 | 0.7243 |
+| No log        | 1.0   | 296  | 0.4747          | 0.7652   | 0.8023    | 0.7652 | 0.7456 |
+| 0.5446        | 2.0   | 592  | 0.4620          | 0.7918   | 0.8183    | 0.7918 | 0.7789 |
+| 0.5446        | 3.0   | 888  | 0.4580          | 0.8042   | 0.8144    | 0.8042 | 0.7971 |
+| 0.453         | 4.0   | 1184 | 0.4534          | 0.7985   | 0.8071    | 0.7985 | 0.7915 |
+| 0.453         | 5.0   | 1480 | 0.4749          | 0.8051   | 0.8147    | 0.8051 | 0.7983 |
+| 0.406         | 6.0   | 1776 | 0.4961          | 0.8061   | 0.8145    | 0.8061 | 0.7997 |
 
 
 ### Framework versions