ladoza03
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xlm-roberta-base-finetuned-panx-en

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ladoza03 commited on Jan 6, 2024

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2533
-- F1: 0.8262
 ## Model description
@@ -43,15 +43,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.3966        | 1.0   | 1250 | 0.2770          | 0.7839 |
-| 0.239         | 2.0   | 2500 | 0.2551          | 0.8112 |
-| 0.1656        | 3.0   | 3750 | 0.2533          | 0.8262 |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2771
+- F1: 0.8326
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 4
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.3975        | 1.0   | 1250 | 0.2850          | 0.7912 |
+| 0.2466        | 2.0   | 2500 | 0.2563          | 0.8094 |
+| 0.178         | 3.0   | 3750 | 0.2654          | 0.8260 |
+| 0.1273        | 4.0   | 5000 | 0.2771          | 0.8326 |
 ### Framework versions