End of training

README.md

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+---
+license: cc-by-sa-4.0
+base_model: raminass/scotus-v10
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: SCOTUS_AI_V15_CURCUIT_V2
+  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. -->
+
+# SCOTUS_AI_V15_CURCUIT_V2
+
+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: 1.2266
+- Accuracy: 0.7710
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.7501        | 1.0   | 2070  | 0.7583          | 0.7831   |
+| 0.4324        | 2.0   | 4140  | 0.8124          | 0.7710   |
+| 0.2489        | 3.0   | 6210  | 0.9473          | 0.7559   |
+| 0.1791        | 4.0   | 8280  | 0.9953          | 0.7720   |
+| 0.0968        | 5.0   | 10350 | 1.1184          | 0.7750   |
+| 0.0626        | 6.0   | 12420 | 1.2091          | 0.7703   |
+| 0.0431        | 7.0   | 14490 | 1.2266          | 0.7710   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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