End of training

README.md

@@ -8,18 +8,18 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: sexism-detector-English-161612e-5001
+- name: sexism-detector-English-8812e-5001
   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-161612e-5001
+# sexism-detector-English-8812e-5001
 
 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: 0.5543
+- Loss: 0.5548
 - Accuracy: 0.7575
 - F1: 0.6530
 
@@ -41,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - 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
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5667        | 1.0   | 875  | 0.5543          | 0.7575   | 0.6530 |
+| 0.5683        | 1.0   | 1750 | 0.5548          | 0.7575   | 0.6530 |
 
 
 ### Framework versions

runs/Nov26_00-16-02_9f15363db8c5/events.out.tfevents.1732580163.9f15363db8c5.1414.4

@@ -1,3 +1,3 @@
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-size 5321
+oid sha256:389496e5842a1df7ae4e5f3f2ade9b7d44f68e738c6bf09e0e0b26d36e457d3d
+size 6044