End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: cc-by-sa-4.0
-base_model: nlpaueb/legal-bert-small-uncased
+base_model: raminass/scotus-v10
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # SCOTUS_AI
 
-This model is a fine-tuned version of [nlpaueb/legal-bert-small-uncased](https://huggingface.co/nlpaueb/legal-bert-small-uncased) on the None dataset.
+This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0755
-- Accuracy: 0.6652
+- Loss: 0.7680
+- Accuracy: 0.8341
 
 ## Model description
 
@@ -43,15 +43,17 @@ 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: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3741        | 1.0   | 1875 | 1.2579          | 0.6172   |
-| 0.871         | 2.0   | 3750 | 1.1109          | 0.6518   |
-| 0.6387        | 3.0   | 5625 | 1.0755          | 0.6652   |
+| 0.5767        | 1.0   | 1800 | 0.6222          | 0.8243   |
+| 0.2965        | 2.0   | 3600 | 0.6352          | 0.8339   |
+| 0.1832        | 3.0   | 5400 | 0.7201          | 0.8261   |
+| 0.0991        | 4.0   | 7200 | 0.7398          | 0.8356   |
+| 0.0616        | 5.0   | 9000 | 0.7680          | 0.8341   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:77a4247e29f41297214402c9a50fbb2355741a75603519489bd157f82c16c24f
+oid sha256:36c45dc70ad492a151483f61d1a95d6bfb445ecab821273f2f0393a52e65c8ed
 size 140316564