End of training

README.md

@@ -8,20 +8,20 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: sexism-detector-English-121212e-4001
+- name: sexism-detector-English-121212e-501
   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-English-121212e-4001
+# sexism-detector-English-121212e-501
 
 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: 0.5540
-- Accuracy: 0.7575
-- F1: 0.6530
+- Loss: 0.3383
+- Accuracy: 0.8675
+- F1: 0.8637
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 2e-05
 - train_batch_size: 12
 - eval_batch_size: 12
 - seed: 42
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5728        | 1.0   | 1167 | 0.5540          | 0.7575   | 0.6530 |
+| 0.4069        | 1.0   | 1167 | 0.3383          | 0.8675   | 0.8637 |
 
 
 ### Framework versions

runs/Nov26_04-44-09_a978c963c651/events.out.tfevents.1732596251.a978c963c651.2451.1

@@ -1,3 +1,3 @@
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-size 5323
+oid sha256:b63cd1860e969fe99cc146e1beb6b0ea8b7a3df1f83a7044285a0916c53e7451
+size 6046