mohameddhiab
/

rate-jokes-bert

Text Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

mohameddhiab commited on Jun 24, 2023

Commit

a6af752

·

1 Parent(s): f08e77e

update model card README.md

Files changed (1) hide show

README.md +13 -13

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 # rate-jokes-bert
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1164
 - F1: 0.0444
 ## Model description
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 64   | 2.2798          | 0.0449 |
-| No log        | 2.0   | 128  | 2.2237          | 0.0444 |
-| No log        | 3.0   | 192  | 2.1813          | 0.0444 |
-| No log        | 4.0   | 256  | 2.1558          | 0.0444 |
-| No log        | 5.0   | 320  | 2.1386          | 0.0444 |
-| No log        | 6.0   | 384  | 2.1303          | 0.0444 |
-| No log        | 7.0   | 448  | 2.1239          | 0.0444 |
-| 2.2511        | 8.0   | 512  | 2.1190          | 0.0444 |
-| 2.2511        | 9.0   | 576  | 2.1173          | 0.0444 |
-| 2.2511        | 10.0  | 640  | 2.1164          | 0.0444 |
 ### Framework versions

 ---
+license: mit
 tags:
 - generated_from_trainer
 metrics:
 # rate-jokes-bert
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.0871
 - F1: 0.0444
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 64   | 2.4209          | 0.0028 |
+| No log        | 2.0   | 128  | 2.3785          | 0.0130 |
+| No log        | 3.0   | 192  | 2.3215          | 0.0729 |
+| No log        | 4.0   | 256  | 2.1787          | 0.0444 |
+| No log        | 5.0   | 320  | 2.1038          | 0.0444 |
+| No log        | 6.0   | 384  | 2.0944          | 0.0444 |
+| No log        | 7.0   | 448  | 2.0911          | 0.0444 |
+| 2.2915        | 8.0   | 512  | 2.0901          | 0.0444 |
+| 2.2915        | 9.0   | 576  | 2.0892          | 0.0444 |
+| 2.2915        | 10.0  | 640  | 2.0871          | 0.0444 |
 ### Framework versions