---
license: apache-2.0
base_model: BSC-TeMU/roberta-base-bne
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-multi-sentiment-finetuned-multi-sentiment
  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-base-bne-finetuned-multi-sentiment-finetuned-multi-sentiment

This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0249
- Accuracy: 0.6451

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5534        | 1.0   | 115  | 0.7764          | 0.6512   |
| 0.3479        | 2.0   | 230  | 0.9324          | 0.6512   |
| 0.0922        | 3.0   | 345  | 1.2452          | 0.6574   |
| 0.0218        | 4.0   | 460  | 1.7006          | 0.6512   |
| 0.001         | 5.0   | 575  | 1.7949          | 0.6512   |
| 0.0007        | 6.0   | 690  | 1.8798          | 0.6605   |
| 0.0006        | 7.0   | 805  | 1.9510          | 0.6451   |
| 0.0005        | 8.0   | 920  | 1.9926          | 0.6451   |
| 0.0004        | 9.0   | 1035 | 2.0169          | 0.6451   |
| 0.0004        | 10.0  | 1150 | 2.0249          | 0.6451   |


### Framework versions

- Transformers 4.40.2
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1