End of training

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: cambridgeltl/tacl-bert-base-uncased
+license: apache-2.0
+base_model: bert-base-cased
 tags:
 - generated_from_trainer
 metrics:
@@ -16,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # BERT-Libertarian
 
-This model is a fine-tuned version of [cambridgeltl/tacl-bert-base-uncased](https://huggingface.co/cambridgeltl/tacl-bert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1145
-- Precision: 0.5103
-- Recall: 0.5803
-- F1: 0.5431
+- Loss: 0.1700
+- Precision: 0.5721
+- Recall: 0.5533
+- F1: 0.5625
 
 ## Model description
 
@@ -52,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 306  | 0.0849          | 0.4564    | 0.5632 | 0.5042 |
-| 0.0884        | 2.0   | 612  | 0.0993          | 0.4838    | 0.6037 | 0.5371 |
-| 0.0884        | 3.0   | 918  | 0.1145          | 0.5103    | 0.5803 | 0.5431 |
+| No log        | 1.0   | 306  | 0.1223          | 0.5281    | 0.4609 | 0.4922 |
+| 0.1096        | 2.0   | 612  | 0.1298          | 0.5102    | 0.6126 | 0.5567 |
+| 0.1096        | 3.0   | 918  | 0.1700          | 0.5721    | 0.5533 | 0.5625 |
 
 
 ### Framework versions

model.safetensors

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 size 430911284

runs/May19_19-23-19_ad9b2bcda10b/events.out.tfevents.1716146600.ad9b2bcda10b.713.1

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