haesun
/

xlm-roberta-base-finetuned-panx-all

Token Classification

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Model card Files Files and versions

haesun commited on Jul 5, 2022

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update model card README.md

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@@ -16,8 +16,8 @@ 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: 0.1807
-- F1: 0.8528
 ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2967        | 1.0   | 1252 | 0.1906          | 0.8149 |
-| 0.1576        | 2.0   | 2504 | 0.1779          | 0.8364 |
-| 0.0996        | 3.0   | 3756 | 0.1807          | 0.8528 |
 ### 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: 0.1387
+- F1: 0.8856
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2967        | 1.0   | 1252 | 0.1817          | 0.8284 |
+| 0.1576        | 2.0   | 2504 | 0.1521          | 0.8597 |
+| 0.0996        | 3.0   | 3756 | 0.1387          | 0.8856 |
 ### Framework versions