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distilroberta-base-etc

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agi-css commited on May 3, 2022

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update model card README.md

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@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 # distilroberta-base-etc
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5308
-- Accuracy: 0.7764
-- F1: 0.7744
 ## Model description
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 1.786634543080922e-05
 - train_batch_size: 400
 - eval_batch_size: 400
 - seed: 42
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 46   | 0.6594          | 0.6699   | 0.6581 |
-| No log        | 2.0   | 92   | 0.5253          | 0.7575   | 0.7574 |
-| No log        | 3.0   | 138  | 0.5651          | 0.7394   | 0.7338 |
-| No log        | 4.0   | 184  | 0.4815          | 0.7862   | 0.7860 |
-| No log        | 5.0   | 230  | 0.5280          | 0.7734   | 0.7721 |
-| No log        | 6.0   | 276  | 0.5066          | 0.7786   | 0.7776 |
-| No log        | 7.0   | 322  | 0.5308          | 0.7764   | 0.7744 |
 ### Framework versions

 # distilroberta-base-etc
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3382
+- Accuracy: 0.919
+- F1: 0.9190
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 4.969790133269121e-05
 - train_batch_size: 400
 - eval_batch_size: 400
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 84   | 0.2372          | 0.907    | 0.9070 |
+| No log        | 2.0   | 168  | 0.2358          | 0.9083   | 0.9083 |
+| No log        | 3.0   | 252  | 0.2430          | 0.9137   | 0.9137 |
+| No log        | 4.0   | 336  | 0.2449          | 0.919    | 0.9190 |
+| No log        | 5.0   | 420  | 0.2884          | 0.9193   | 0.9193 |
+| No log        | 6.0   | 504  | 0.3179          | 0.9167   | 0.9167 |
+| No log        | 7.0   | 588  | 0.3382          | 0.919    | 0.9190 |
 ### Framework versions