---
library_name: transformers
license: mit
base_model: mlburnham/Political_DEBATE_large_v1.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nli-stance-finetuning-laurer
  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. -->

# nli-stance-finetuning-laurer

This model is a fine-tuned version of [mlburnham/Political_DEBATE_large_v1.0](https://huggingface.co./mlburnham/Political_DEBATE_large_v1.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0075
- Accuracy: 0.8140
- F1 Macro: 0.7763
- Accuracy Balanced: 0.7736
- F1 Micro: 0.8140
- Precision Macro: 0.8120
- Recall Macro: 0.7736
- Precision Micro: 0.8140
- Recall Micro: 0.8140

## 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: 10
- seed: 1234
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.25
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
| 0.3663        | 1.0   | 538  | 1.0075          | 0.8140   | 0.7763   | 0.7736            | 0.8140   | 0.8120          | 0.7736       | 0.8140          | 0.8140       |
| 0.3854        | 2.0   | 1076 | 1.1733          | 0.7326   | 0.6903   | 0.7285            | 0.7326   | 0.6831          | 0.7285       | 0.7326          | 0.7326       |
| 0.1758        | 3.0   | 1614 | 1.4595          | 0.7326   | 0.6823   | 0.7215            | 0.7326   | 0.6760          | 0.7215       | 0.7326          | 0.7326       |
| 0.0743        | 4.0   | 2152 | 1.6271          | 0.7442   | 0.6692   | 0.6851            | 0.7442   | 0.6634          | 0.6851       | 0.7442          | 0.7442       |
| 0.0343        | 5.0   | 2690 | 1.7175          | 0.7326   | 0.6575   | 0.6750            | 0.7326   | 0.6531          | 0.6750       | 0.7326          | 0.7326       |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1