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---
base_model: cardiffnlp/twitter-roberta-base-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: TweetRoberta_5epochs
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. -->
# TweetRoberta_5epochs
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3387
- Accuracy: 0.9452
- F1: 0.9454
## 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: 8
- eval_batch_size: 8
- 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 | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.2755 | 1.0 | 2500 | 0.4153 | 0.9176 | 0.9129 |
| 0.2107 | 2.0 | 5000 | 0.3076 | 0.9312 | 0.9341 |
| 0.1421 | 3.0 | 7500 | 0.2812 | 0.9428 | 0.9424 |
| 0.081 | 4.0 | 10000 | 0.3304 | 0.9464 | 0.9466 |
| 0.0601 | 5.0 | 12500 | 0.3387 | 0.9452 | 0.9454 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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