Yeji-Seong
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distilbert-base-uncased-tokenclassification_lora

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Yeji-Seong commited on Jan 17

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@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4685
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.9205
 ## Model description
@@ -50,14 +50,22 @@ 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: 2
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 213  | 0.7099          | 0.0       | 0.0    | 0.0 | 0.9205   |
-| No log        | 2.0   | 426  | 0.4685          | 0.0       | 0.0    | 0.0 | 0.9205   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3089
+- Precision: 0.25
+- Recall: 0.0251
+- F1: 0.0457
+- Accuracy: 0.9238
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 10
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 213  | 0.4282          | 0.0       | 0.0    | 0.0    | 0.9205   |
+| No log        | 2.0   | 426  | 0.3958          | 0.0       | 0.0    | 0.0    | 0.9205   |
+| 0.2774        | 3.0   | 639  | 0.3582          | 0.0       | 0.0    | 0.0    | 0.9205   |
+| 0.2774        | 4.0   | 852  | 0.3379          | 0.0       | 0.0    | 0.0    | 0.9207   |
+| 0.2222        | 5.0   | 1065 | 0.3254          | 0.0       | 0.0    | 0.0    | 0.9210   |
+| 0.2222        | 6.0   | 1278 | 0.3208          | 0.0       | 0.0    | 0.0    | 0.9215   |
+| 0.2222        | 7.0   | 1491 | 0.3145          | 0.2292    | 0.0132 | 0.0249 | 0.9224   |
+| 0.2028        | 8.0   | 1704 | 0.3115          | 0.2353    | 0.0191 | 0.0354 | 0.9231   |
+| 0.2028        | 9.0   | 1917 | 0.3091          | 0.2561    | 0.0251 | 0.0458 | 0.9238   |
+| 0.1935        | 10.0  | 2130 | 0.3089          | 0.25      | 0.0251 | 0.0457 | 0.9238   |
 ### Framework versions