Training completed!

README.md

@@ -3,6 +3,8 @@ license: cc-by-sa-4.0
 base_model: nlpaueb/legal-bert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: legal-bert-base-uncased-supreme-court-batch32
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # legal-bert-base-uncased-supreme-court-batch32
 
 This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5681
+- Accuracy: 0.6548
 
 ## Model description
 
@@ -42,6 +47,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6478        | 1.0   | 660  | 0.5446          | 0.6519   |
+| 0.6011        | 2.0   | 1320 | 0.5505          | 0.6485   |
+| 0.5694        | 3.0   | 1980 | 0.5681          | 0.6548   |
 
 
 ### Framework versions

model.safetensors

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 size 437958648

runs/Dec03_01-06-12_gr051.hpc.nyu.edu/events.out.tfevents.1701583573.gr051.hpc.nyu.edu.3750416.0

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