---
license: mit
base_model: FacebookAI/roberta-large-mnli
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: paul-test-classification-roberta
  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. -->

# paul-test-classification-roberta

This model is a fine-tuned version of [FacebookAI/roberta-large-mnli](https://huggingface.co/FacebookAI/roberta-large-mnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0
- Accuracy: 1.0

## 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: 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: 5

### Training results

| Training Loss  | Epoch | Step | Validation Loss | Accuracy |
|:--------------:|:-----:|:----:|:---------------:|:--------:|
| 44912717332.48 | 1.0   | 25   | 0.0             | 1.0      |
| 0.0            | 2.0   | 50   | 0.0             | 1.0      |
| 0.0            | 3.0   | 75   | 0.0             | 1.0      |
| 0.0            | 4.0   | 100  | 0.0             | 1.0      |
| 0.0            | 5.0   | 125  | 0.0             | 1.0      |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0