edwardjross
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xlm-roberta-base-finetuned-recipe-all

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generated_from_trainer

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edwardjross commited on Apr 9, 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: 0.1127
-- F1: 0.9677
 ## Model description
@@ -42,15 +42,16 @@ 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2446        | 1.0   | 331  | 0.1310          | 0.9604 |
-| 0.1065        | 2.0   | 662  | 0.1100          | 0.9650 |
-| 0.0724        | 3.0   | 993  | 0.1127          | 0.9677 |
 ### 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: 0.1169
+- F1: 0.9672
 ## 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2529        | 1.0   | 331  | 0.1303          | 0.9592 |
+| 0.1164        | 2.0   | 662  | 0.1224          | 0.9640 |
+| 0.0904        | 3.0   | 993  | 0.1156          | 0.9671 |
+| 0.0585        | 4.0   | 1324 | 0.1169          | 0.9672 |
 ### Framework versions