---
license: apache-2.0
base_model: soleimanian/financial-roberta-large-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: RoBERTa_FPB_finetuned_v2
  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. -->

# RoBERTa_FPB_finetuned_v2

This model is a fine-tuned version of [soleimanian/financial-roberta-large-sentiment](https://huggingface.co/soleimanian/financial-roberta-large-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5080
- Accuracy: 0.8660
- F1: 0.8658
- Precision: 0.8663
- Recall: 0.8660

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.3263        | 1.0   | 218  | 0.3427          | 0.8711   | 0.8725 | 0.8797    | 0.8711 |
| 0.377         | 2.0   | 436  | 0.4305          | 0.8454   | 0.8458 | 0.8470    | 0.8454 |
| 0.2243        | 3.0   | 654  | 0.5149          | 0.8763   | 0.8756 | 0.8769    | 0.8763 |
| 0.1564        | 4.0   | 872  | 0.5080          | 0.8660   | 0.8658 | 0.8663    | 0.8660 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1