Training completed!

README.md

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+---
+license: cc-by-sa-4.0
+base_model: nlpaueb/legal-bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: unsummarized-partisan-legal-bert-base-uncased-supreme-court-32batch_3epoch_2e5lr_01wd
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# unsummarized-partisan-legal-bert-base-uncased-supreme-court-32batch_3epoch_2e5lr_01wd
+
+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: 0.5720
+- Accuracy: 0.6867
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 7
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5666        | 1.0   | 660  | 0.5456          | 0.6644   |
+| 0.514         | 2.0   | 1320 | 0.5460          | 0.6852   |
+| 0.4584        | 3.0   | 1980 | 0.5720          | 0.6867   |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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