---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: crypto_sustainability_news_text_classifier-distilbert-base-uncased
  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_text_classifier-distilbert-base-uncased

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0678
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0723        | 1.0   | 8    | 1.0659          | 0.2167   |
| 1.0079        | 2.0   | 16   | 0.9776          | 0.75     |
| 0.908         | 3.0   | 24   | 0.8537          | 0.9333   |
| 0.7741        | 4.0   | 32   | 0.7082          | 0.9667   |
| 0.6449        | 5.0   | 40   | 0.5749          | 0.9667   |
| 0.5218        | 6.0   | 48   | 0.4551          | 0.9667   |
| 0.4026        | 7.0   | 56   | 0.3505          | 1.0      |
| 0.3144        | 8.0   | 64   | 0.2714          | 1.0      |
| 0.2424        | 9.0   | 72   | 0.2163          | 1.0      |
| 0.1939        | 10.0  | 80   | 0.1709          | 1.0      |
| 0.1559        | 11.0  | 88   | 0.1384          | 1.0      |
| 0.1247        | 12.0  | 96   | 0.1169          | 1.0      |
| 0.1073        | 13.0  | 104  | 0.0992          | 1.0      |
| 0.094         | 14.0  | 112  | 0.0890          | 1.0      |
| 0.0823        | 15.0  | 120  | 0.0813          | 1.0      |
| 0.0759        | 16.0  | 128  | 0.0756          | 1.0      |
| 0.0708        | 17.0  | 136  | 0.0720          | 1.0      |
| 0.0684        | 18.0  | 144  | 0.0697          | 1.0      |
| 0.0668        | 19.0  | 152  | 0.0683          | 1.0      |
| 0.0634        | 20.0  | 160  | 0.0678          | 1.0      |


### Framework versions

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