---
library_name: transformers
license: mit
base_model: FacebookAI/roberta-large-mnli
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sustainability_news_roberta-large-mnli_five_epochs
  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. -->

# sustainability_news_roberta-large-mnli_five_epochs

This model is a fine-tuned version of [FacebookAI/roberta-large-mnli](https://huggingface.co/FacebookAI/roberta-large-mnli) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0124
- 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1736        | 1.0   | 8    | 0.9382          | 0.5833   |
| 0.5799        | 2.0   | 16   | 0.3128          | 0.95     |
| 0.1978        | 3.0   | 24   | 0.0652          | 0.9833   |
| 0.0455        | 4.0   | 32   | 0.0186          | 1.0      |
| 0.0161        | 5.0   | 40   | 0.0124          | 1.0      |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3