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
+  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
+
+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: 0.0214
+- Accuracy: 0.9954
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6856        | 1.0   | 2504  | 0.4083          | 0.8876   |
+| 0.4313        | 2.0   | 5008  | 0.2375          | 0.9321   |
+| 0.2564        | 3.0   | 7512  | 0.1136          | 0.9686   |
+| 0.1662        | 4.0   | 10016 | 0.0553          | 0.9863   |
+| 0.0966        | 5.0   | 12520 | 0.0432          | 0.9889   |
+| 0.0604        | 6.0   | 15024 | 0.0278          | 0.9935   |
+| 0.0372        | 7.0   | 17528 | 0.0214          | 0.9954   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2