---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-financial-time-period
  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. -->

# distilbert-financial-time-period

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: 0.7377
- Accuracy: 0.8571
- F1: 0.8567

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 318  | 0.7008          | 0.7778   | 0.7526 |
| 0.9267        | 2.0   | 636  | 0.5101          | 0.8571   | 0.8547 |
| 0.9267        | 3.0   | 954  | 0.6938          | 0.8730   | 0.8734 |
| 0.1034        | 4.0   | 1272 | 0.6638          | 0.8730   | 0.8734 |
| 0.0289        | 5.0   | 1590 | 0.7391          | 0.8571   | 0.8567 |
| 0.0289        | 6.0   | 1908 | 0.7377          | 0.8571   | 0.8567 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1