eclec
/

patentClassificationLongFormer3

Text Classification

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eclec commited on Oct 30, 2023

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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [eclec/patentClassificationLongFormer2](https://huggingface.co/eclec/patentClassificationLongFormer2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4177
-- Accuracy: 0.8029
-- F1: 0.5802
 ## Model description
@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 212  | 0.4189          | 0.8032   | 0.5967 |
-| No log        | 2.0   | 425  | 0.4177          | 0.8029   | 0.5802 |
-| 0.4021        | 2.99  | 636  | 0.4360          | 0.8041   | 0.5978 |
 ### Framework versions

 This model is a fine-tuned version of [eclec/patentClassificationLongFormer2](https://huggingface.co/eclec/patentClassificationLongFormer2) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4056
+- Accuracy: 0.8115
+- F1: 0.5806
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.4232        | 1.0   | 1107 | 0.4202          | 0.8041   | 0.5957 |
+| 0.3753        | 2.0   | 2215 | 0.4056          | 0.8115   | 0.5806 |
+| 0.3157        | 3.0   | 3321 | 0.4318          | 0.8073   | 0.5949 |
 ### Framework versions