---
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Finance-CSS-Lab-distilbert
  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. -->

# Finance-CSS-Lab-distilbert

This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7014
- Accuracy: 0.7783
- F1: 0.7888

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6244        | 1.0   | 111  | 0.6232          | 0.6380   | 0.5722 |
| 0.4815        | 2.0   | 222  | 0.5201          | 0.7466   | 0.7821 |
| 0.3317        | 3.0   | 333  | 0.6191          | 0.7511   | 0.7317 |
| 0.1962        | 4.0   | 444  | 0.6956          | 0.7873   | 0.8135 |
| 0.1241        | 5.0   | 555  | 0.7014          | 0.7783   | 0.7888 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2