End of training

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: BSC-TeMU/roberta-base-bne
+license: cc
+base_model: davidmasip/racism
 tags:
 - generated_from_trainer
 metrics:
@@ -8,23 +8,23 @@ metrics:
 - precision
 - recall
 model-index:
-- name: roberta-base-bne-finetuned-detests-wandb24
+- name: racism-finetuned-detests-wandb24
   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. -->
 
-# roberta-base-bne-finetuned-detests-wandb24
+# racism-finetuned-detests-wandb24
 
-This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
+This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3567
-- Accuracy: 0.8396
-- F1-score: 0.7752
-- Precision: 0.7713
-- Recall: 0.7794
-- Auc: 0.7794
+- Loss: 0.3916
+- Accuracy: 0.8380
+- F1-score: 0.7712
+- Precision: 0.7692
+- Recall: 0.7733
+- Auc: 0.7733
 
 ## Model description
 
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
-| 0.4074        | 1.0   | 39   | 0.3802          | 0.8347   | 0.7643   | 0.7649    | 0.7636 | 0.7636 |
-| 0.297         | 2.0   | 78   | 0.3567          | 0.8396   | 0.7752   | 0.7713    | 0.7794 | 0.7794 |
+| 0.357         | 1.0   | 39   | 0.3343          | 0.8576   | 0.7614   | 0.8374    | 0.7277 | 0.7277 |
+| 0.1109        | 2.0   | 78   | 0.3916          | 0.8380   | 0.7712   | 0.7692    | 0.7733 | 0.7733 |
 
 
 ### Framework versions