---
base_model: AndreiUrsu/TweetRoberta_5epochs
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: TweetRobertaNewDataset
  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. -->

# TweetRobertaNewDataset

This model is a fine-tuned version of [AndreiUrsu/TweetRoberta_5epochs](https://huggingface.co/AndreiUrsu/TweetRoberta_5epochs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- F1: 1.0

## 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: 16
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
| 0.0003        | 1.0   | 1000 | 0.0001          | 1.0      | 1.0 |
| 0.0001        | 2.0   | 2000 | 0.0001          | 1.0      | 1.0 |
| 0.0001        | 3.0   | 3000 | 0.0000          | 1.0      | 1.0 |
| 0.0           | 4.0   | 4000 | 0.0000          | 1.0      | 1.0 |
| 0.0           | 5.0   | 5000 | 0.0000          | 1.0      | 1.0 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1