---
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