---
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_12112024T123630
  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_12112024T123630

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: 0.5160
- F1: 0.8689
- 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: 8
- total_train_batch_size: 64
- 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  | 43   | 1.7742          | 0.1656 | 7e-07  |
| No log        | 1.9884  | 86   | 1.7368          | 0.2208 | 0.0000 |
| No log        | 2.9827  | 129  | 1.6531          | 0.3182 | 0.0000 |
| No log        | 4.0     | 173  | 1.5111          | 0.4169 | 0.0000 |
| No log        | 4.9942  | 216  | 1.3427          | 0.4913 | 0.0000 |
| No log        | 5.9884  | 259  | 1.1750          | 0.5379 | 0.0000 |
| No log        | 6.9827  | 302  | 1.0970          | 0.5486 | 5e-06  |
| No log        | 8.0     | 346  | 1.0081          | 0.5856 | 0.0000 |
| No log        | 8.9942  | 389  | 0.9728          | 0.5991 | 0.0000 |
| No log        | 9.9884  | 432  | 0.9005          | 0.6481 | 0.0000 |
| No log        | 10.9827 | 475  | 0.8614          | 0.6640 | 0.0000 |
| 1.2671        | 12.0    | 519  | 0.7905          | 0.7202 | 0.0000 |
| 1.2671        | 12.9942 | 562  | 0.7560          | 0.7367 | 0.0000 |
| 1.2671        | 13.9884 | 605  | 0.7399          | 0.7421 | 1e-05  |
| 1.2671        | 14.9827 | 648  | 0.6596          | 0.7804 | 0.0000 |
| 1.2671        | 16.0    | 692  | 0.6331          | 0.7966 | 0.0000 |
| 1.2671        | 16.9942 | 735  | 0.6272          | 0.7994 | 0.0000 |
| 1.2671        | 17.9884 | 778  | 0.5878          | 0.8249 | 0.0000 |
| 1.2671        | 18.9827 | 821  | 0.5564          | 0.8386 | 0.0000 |
| 1.2671        | 20.0    | 865  | 0.5482          | 0.8474 | 0.0000 |
| 1.2671        | 20.9942 | 908  | 0.5523          | 0.8501 | 0.0000 |
| 1.2671        | 21.9884 | 951  | 0.5309          | 0.8534 | 0.0000 |
| 1.2671        | 22.9827 | 994  | 0.5364          | 0.8582 | 4e-06  |
| 0.4473        | 24.0    | 1038 | 0.5176          | 0.8638 | 3e-06  |
| 0.4473        | 24.9942 | 1081 | 0.5256          | 0.8663 | 0.0000 |
| 0.4473        | 25.9884 | 1124 | 0.5182          | 0.8691 | 0.0000 |
| 0.4473        | 26.9827 | 1167 | 0.5237          | 0.8680 | 8e-07  |
| 0.4473        | 28.0    | 1211 | 0.5160          | 0.8689 | 3e-07  |
| 0.4473        | 28.9942 | 1254 | 0.5216          | 0.8673 | 1e-07  |
| 0.4473        | 29.8266 | 1290 | 0.5220          | 0.8670 | 0.0    |


### Framework versions

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