update model card README.md

README.md

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+---
+base_model: uw-madison/yoso-4096
+tags:
+- generated_from_trainer
+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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1966
+- F1 Score: 0.9584
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1 Score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2316        | 1.0   | 3492  | 0.2029          | 0.9480   |
+| 0.1312        | 2.0   | 6984  | 0.2308          | 0.9497   |
+| 0.1126        | 3.0   | 10476 | 0.2019          | 0.9545   |
+| 0.1254        | 4.0   | 13968 | 0.1966          | 0.9584   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3