End of training

README.md

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+---
+base_model: uw-madison/yoso-4096
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: uw-madison-yoso-4096
+  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. -->
+
+# uw-madison-yoso-4096
+
+This model is a fine-tuned version of [uw-madison/yoso-4096](https://huggingface.co/uw-madison/yoso-4096) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3860
+- Accuracy: 0.2666
+
+## 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: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3868        | 1.0   | 2857 | 1.3864          | 0.2467   |
+| 1.3866        | 2.0   | 5714 | 1.3862          | 0.2470   |
+| 1.3863        | 3.0   | 8571 | 1.3860          | 0.2666   |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.0