End of training

README.md

@@ -8,18 +8,18 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: sexism-detector-Spanish-8842e-2001
+- name: sexism-detector-Spanish-8842e-301
   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. -->
 
-# sexism-detector-Spanish-8842e-2001
+# sexism-detector-Spanish-8842e-301
 
 This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4924
+- Loss: 0.4678
 - Accuracy: 0.8246
 - F1: 0.7453
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.02
+- learning_rate: 0.002
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 2.0415        | 1.0   | 225  | 7.8825          | 0.1754   | 0.0524 |
-| 2.0292        | 2.0   | 450  | 0.4645          | 0.8246   | 0.7453 |
-| 1.2636        | 3.0   | 675  | 0.7313          | 0.8246   | 0.7453 |
-| 0.7948        | 4.0   | 900  | 0.4924          | 0.8246   | 0.7453 |
+| 0.7903        | 1.0   | 225  | 0.5394          | 0.8246   | 0.7453 |
+| 0.5355        | 2.0   | 450  | 0.4644          | 0.8246   | 0.7453 |
+| 0.5369        | 3.0   | 675  | 0.4836          | 0.8246   | 0.7453 |
+| 0.4705        | 4.0   | 900  | 0.4678          | 0.8246   | 0.7453 |
 
 
 ### Framework versions