---
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: twitter-roberta-base-sentiment-latest
  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. -->

# twitter-roberta-base-sentiment-latest

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3202
- Accuracy: 0.7915

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 600
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8113        | 0.12  | 30   | 0.7971          | 0.418    |
| 0.6733        | 0.24  | 60   | 0.6551          | 0.469    |
| 0.5712        | 0.36  | 90   | 0.5713          | 0.522    |
| 0.5234        | 0.48  | 120  | 0.5311          | 0.565    |
| 0.5406        | 0.6   | 150  | 0.4938          | 0.6595   |
| 0.4856        | 0.72  | 180  | 0.4482          | 0.692    |
| 0.4732        | 0.84  | 210  | 0.4147          | 0.7185   |
| 0.4217        | 0.96  | 240  | 0.4038          | 0.726    |
| 0.4097        | 1.08  | 270  | 0.3828          | 0.7375   |
| 0.3911        | 1.2   | 300  | 0.3928          | 0.735    |
| 0.3779        | 1.32  | 330  | 0.3767          | 0.7555   |
| 0.3829        | 1.44  | 360  | 0.3705          | 0.74     |
| 0.3596        | 1.56  | 390  | 0.3905          | 0.744    |
| 0.3626        | 1.68  | 420  | 0.3712          | 0.7425   |
| 0.3763        | 1.8   | 450  | 0.3679          | 0.752    |
| 0.3722        | 1.92  | 480  | 0.3353          | 0.7805   |
| 0.3387        | 2.04  | 510  | 0.3504          | 0.768    |
| 0.3247        | 2.16  | 540  | 0.3573          | 0.766    |
| 0.3242        | 2.28  | 570  | 0.3526          | 0.7775   |
| 0.4003        | 2.4   | 600  | 0.3413          | 0.7785   |
| 0.353         | 2.52  | 630  | 0.3519          | 0.765    |
| 0.3557        | 2.64  | 660  | 0.3421          | 0.7845   |
| 0.3013        | 2.76  | 690  | 0.3291          | 0.7855   |
| 0.3034        | 2.88  | 720  | 0.3306          | 0.779    |
| 0.3146        | 3.0   | 750  | 0.3554          | 0.767    |
| 0.2856        | 3.12  | 780  | 0.3333          | 0.7825   |
| 0.2764        | 3.24  | 810  | 0.3353          | 0.7795   |
| 0.2844        | 3.36  | 840  | 0.3202          | 0.7915   |
| 0.2531        | 3.48  | 870  | 0.3388          | 0.7815   |
| 0.3134        | 3.6   | 900  | 0.3497          | 0.7775   |
| 0.2874        | 3.72  | 930  | 0.3427          | 0.787    |
| 0.2822        | 3.84  | 960  | 0.3328          | 0.7805   |
| 0.2963        | 3.96  | 990  | 0.3375          | 0.7885   |
| 0.2014        | 4.08  | 1020 | 0.3579          | 0.787    |
| 0.2275        | 4.2   | 1050 | 0.3472          | 0.7905   |
| 0.2758        | 4.32  | 1080 | 0.3497          | 0.7915   |
| 0.2552        | 4.44  | 1110 | 0.3555          | 0.775    |
| 0.228         | 4.56  | 1140 | 0.3494          | 0.784    |
| 0.2471        | 4.68  | 1170 | 0.3451          | 0.787    |
| 0.2505        | 4.8   | 1200 | 0.3508          | 0.7825   |
| 0.2453        | 4.92  | 1230 | 0.3539          | 0.785    |
| 0.2296        | 5.04  | 1260 | 0.3505          | 0.791    |
| 0.2449        | 5.16  | 1290 | 0.3602          | 0.7835   |
| 0.2171        | 5.28  | 1320 | 0.3630          | 0.782    |
| 0.237         | 5.4   | 1350 | 0.3552          | 0.789    |
| 0.1885        | 5.52  | 1380 | 0.3730          | 0.7795   |
| 0.2428        | 5.64  | 1410 | 0.3547          | 0.7925   |
| 0.225         | 5.76  | 1440 | 0.3586          | 0.7835   |
| 0.2513        | 5.88  | 1470 | 0.3586          | 0.786    |
| 0.2241        | 6.0   | 1500 | 0.3580          | 0.787    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1