---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-all_df
  results: []
datasets:
- glue
- wisesight_sentiment
- tweet_eval
- imdb
language:
- en
- th
pipeline_tag: text-classification
widget:
- text: "ไปเลยยยย 555 โคตรคุ้มมมมค่า"
  example: "pos"
- text: "ยาบ้าโทษประหารนะครับ"
  example: "neu"
- text: "จับบุหรี่ไฟฟ้า ยึดรถ????"
  example: "neg"
---

<!-- 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. -->

# finetuning-sentiment-all_df

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5500
- Accuracy: 0.7683
- F1: 0.7683

## 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: 2

### Training results



### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2