---
license: apache-2.0
base_model: cm309/distilbert-base-uncased-finetuned-Financial-News-Superior
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: classification_bert_da_superior
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# classification_bert_da_superior

This model is a fine-tuned version of [cm309/distilbert-base-uncased-finetuned-Financial-News-Superior](https://huggingface.co/cm309/distilbert-base-uncased-finetuned-Financial-News-Superior) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3962
- Accuracy: 0.8576
- Precision: 0.8576
- Recall: 0.8576
- F1: 0.8568

## 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: 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 | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.5961        | 1.0   | 597  | 0.4288          | 0.8300   | 0.8336    | 0.8300 | 0.8312 |
| 0.3723        | 2.0   | 1194 | 0.3962          | 0.8576   | 0.8576    | 0.8576 | 0.8568 |
| 0.2497        | 3.0   | 1791 | 0.4695          | 0.8677   | 0.8668    | 0.8677 | 0.8665 |
| 0.1816        | 4.0   | 2388 | 0.5746          | 0.8677   | 0.8677    | 0.8677 | 0.8676 |
| 0.1281        | 5.0   | 2985 | 0.6205          | 0.8618   | 0.8610    | 0.8618 | 0.8612 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1