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

# crypto_sustainability_news_FacebookAI_roberta-large-mnli

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: 0.0004
- 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 OptimizerNames.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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1506        | 1.0   | 8    | 0.9386          | 0.6167   |
| 0.5328        | 2.0   | 16   | 0.1748          | 0.9833   |
| 0.0889        | 3.0   | 24   | 0.0116          | 1.0      |
| 0.0091        | 4.0   | 32   | 0.0030          | 1.0      |
| 0.0092        | 5.0   | 40   | 0.0014          | 1.0      |
| 0.0016        | 6.0   | 48   | 0.0010          | 1.0      |
| 0.0011        | 7.0   | 56   | 0.0008          | 1.0      |
| 0.001         | 8.0   | 64   | 0.0007          | 1.0      |
| 0.0009        | 9.0   | 72   | 0.0006          | 1.0      |
| 0.0008        | 10.0  | 80   | 0.0006          | 1.0      |
| 0.0007        | 11.0  | 88   | 0.0005          | 1.0      |
| 0.0007        | 12.0  | 96   | 0.0005          | 1.0      |
| 0.0006        | 13.0  | 104  | 0.0004          | 1.0      |
| 0.0006        | 14.0  | 112  | 0.0004          | 1.0      |
| 0.0006        | 15.0  | 120  | 0.0004          | 1.0      |
| 0.0006        | 16.0  | 128  | 0.0004          | 1.0      |
| 0.0006        | 17.0  | 136  | 0.0004          | 1.0      |
| 0.0005        | 18.0  | 144  | 0.0004          | 1.0      |
| 0.0005        | 19.0  | 152  | 0.0004          | 1.0      |
| 0.0005        | 20.0  | 160  | 0.0004          | 1.0      |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.0