---
library_name: transformers
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: twitter-roberta-base-sentiment-latest_12112024T150727
  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_12112024T150727

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3348
- F1: 0.4579
- Learning Rate: 0.0

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 600
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | F1     | Rate   |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| No log        | 0.9942  | 86   | 1.8285          | 0.1193 | 0.0000 |
| No log        | 2.0     | 173  | 1.8031          | 0.3302 | 0.0000 |
| No log        | 2.9942  | 259  | 1.5578          | 0.3690 | 0.0000 |
| No log        | 4.0     | 346  | 1.4611          | 0.4092 | 0.0000 |
| No log        | 4.9942  | 432  | 1.4700          | 0.4079 | 0.0000 |
| 1.3786        | 6.0     | 519  | 1.3348          | 0.4579 | 0.0000 |
| 1.3786        | 6.9942  | 605  | 1.6543          | 0.4193 | 1e-05  |
| 1.3786        | 8.0     | 692  | 1.4421          | 0.4858 | 1e-05  |
| 1.3786        | 8.9942  | 778  | 1.5573          | 0.4603 | 0.0000 |
| 1.3786        | 10.0    | 865  | 1.5451          | 0.4797 | 0.0000 |
| 1.3786        | 10.9942 | 951  | 1.8338          | 0.4396 | 0.0000 |
| 0.6407        | 12.0    | 1038 | 1.9383          | 0.4364 | 0.0000 |
| 0.6407        | 12.9942 | 1124 | 1.7573          | 0.4680 | 0.0000 |
| 0.6407        | 14.0    | 1211 | 1.8321          | 0.4735 | 0.0000 |
| 0.6407        | 14.9942 | 1297 | 1.9524          | 0.4619 | 0.0000 |
| 0.6407        | 16.0    | 1384 | 2.1822          | 0.4591 | 0.0000 |
| 0.6407        | 16.9942 | 1470 | 2.1302          | 0.4686 | 6e-06  |
| 0.2608        | 18.0    | 1557 | 2.5139          | 0.4467 | 0.0000 |
| 0.2608        | 18.9942 | 1643 | 2.3385          | 0.4641 | 0.0000 |
| 0.2608        | 20.0    | 1730 | 2.3281          | 0.4726 | 0.0000 |
| 0.2608        | 20.9942 | 1816 | 2.5489          | 0.4722 | 0.0000 |
| 0.2608        | 22.0    | 1903 | 2.5727          | 0.4745 | 0.0000 |
| 0.2608        | 22.9942 | 1989 | 2.5584          | 0.4694 | 0.0000 |
| 0.1026        | 24.0    | 2076 | 2.8115          | 0.4584 | 0.0000 |
| 0.1026        | 24.9942 | 2162 | 2.7270          | 0.4691 | 0.0000 |
| 0.1026        | 26.0    | 2249 | 2.7379          | 0.4746 | 7e-07  |
| 0.1026        | 26.9942 | 2335 | 2.8336          | 0.4757 | 4e-07  |
| 0.1026        | 28.0    | 2422 | 2.8201          | 0.4703 | 2e-07  |
| 0.057         | 28.9942 | 2508 | 2.8292          | 0.4691 | 0.0    |
| 0.057         | 29.8266 | 2580 | 2.8271          | 0.4691 | 0.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1