End of training

README.md

@@ -8,18 +8,18 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: sexism-detector-Spanish-8832e-50001
+- name: sexism-detector-Spanish-8822e-50001
   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-8832e-50001
+# sexism-detector-Spanish-8822e-50001
 
 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: 0.4777
+- Loss: 0.4745
 - Accuracy: 0.8246
 - F1: 0.7453
 
@@ -46,15 +46,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4824        | 1.0   | 225  | 0.4998          | 0.8246   | 0.7453 |
-| 0.4731        | 2.0   | 450  | 0.4757          | 0.8246   | 0.7453 |
-| 0.4583        | 3.0   | 675  | 0.4777          | 0.8246   | 0.7453 |
+| 0.5005        | 1.0   | 225  | 0.5900          | 0.8246   | 0.7453 |
+| 0.4722        | 2.0   | 450  | 0.4745          | 0.8246   | 0.7453 |
 
 
 ### Framework versions