End of training

README.md

@@ -18,9 +18,9 @@ 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: 0.8043
-- Accuracy: 0.7714
-- F1: 0.7862
+- Loss: 0.8622
+- Accuracy: 0.7214
+- F1: 0.7360
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4772        | 1.0   | 53   | 0.8100          | 0.7286   | 0.7326 |
-| 0.3519        | 2.0   | 106  | 0.8094          | 0.7143   | 0.7217 |
-| 0.2195        | 3.0   | 159  | 0.8540          | 0.7357   | 0.7442 |
-| 0.098         | 4.0   | 212  | 0.8043          | 0.7714   | 0.7862 |
-| 0.0839        | 5.0   | 265  | 0.9880          | 0.7786   | 0.7945 |
+| 1.9352        | 1.0   | 53   | 1.9292          | 0.2286   | 0.1424 |
+| 1.7661        | 2.0   | 106  | 1.6808          | 0.4      | 0.3464 |
+| 1.5131        | 3.0   | 159  | 1.4096          | 0.6357   | 0.6419 |
+| 0.9411        | 4.0   | 212  | 1.0246          | 0.6714   | 0.6749 |
+| 0.5521        | 5.0   | 265  | 0.8622          | 0.7214   | 0.7360 |
 
 
 ### Framework versions

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tokenizer.json

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 {
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-    "max_length": 256,
-    "strategy": "LongestFirst",
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-    "direction": "Right",
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-    "pad_id": 0,
-    "pad_type_id": 0,
-    "pad_token": "[PAD]"
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