gc394
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da_distilbert

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gc394 commited on Jun 24, 2024

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README.md +17 -12
model.safetensors +1 -1
training_args.bin +2 -2

README.md CHANGED Viewed

@@ -15,7 +15,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7151
 ## Model description
@@ -40,22 +40,27 @@ 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: 10
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 130  | 2.1034          |
-| No log        | 2.0   | 260  | 1.9547          |
-| No log        | 3.0   | 390  | 1.8459          |
-| 2.1418        | 4.0   | 520  | 1.8499          |
-| 2.1418        | 5.0   | 650  | 1.7874          |
-| 2.1418        | 6.0   | 780  | 1.7771          |
-| 2.1418        | 7.0   | 910  | 1.7605          |
-| 1.8295        | 8.0   | 1040 | 1.7202          |
-| 1.8295        | 9.0   | 1170 | 1.6926          |
-| 1.8295        | 10.0  | 1300 | 1.7350          |
 ### Framework versions

 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: 1.6301
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 15
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 130  | 2.0998          |
+| No log        | 2.0   | 260  | 1.9483          |
+| No log        | 3.0   | 390  | 1.8376          |
+| 2.1352        | 4.0   | 520  | 1.8386          |
+| 2.1352        | 5.0   | 650  | 1.7713          |
+| 2.1352        | 6.0   | 780  | 1.7591          |
+| 2.1352        | 7.0   | 910  | 1.7380          |
+| 1.8059        | 8.0   | 1040 | 1.6942          |
+| 1.8059        | 9.0   | 1170 | 1.6574          |
+| 1.8059        | 10.0  | 1300 | 1.6882          |
+| 1.8059        | 11.0  | 1430 | 1.6419          |
+| 1.7023        | 12.0  | 1560 | 1.6442          |
+| 1.7023        | 13.0  | 1690 | 1.6709          |
+| 1.7023        | 14.0  | 1820 | 1.6300          |
+| 1.7023        | 15.0  | 1950 | 1.6165          |
 ### Framework versions

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