metadata
library_name: transformers
language:
- en
base_model: cardiffnlp/twitter-roberta-base-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: twitter-roberta-base-sentiment-finetuned-sentiment
results: []
twitter-roberta-base-sentiment-finetuned-sentiment
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the Twitter Sentiment Datasets dataset. It achieves the following results on the evaluation set:
- Loss: 0.4905
- Accuracy: 0.8123
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5275 | 1.0 | 1250 | 0.4646 | 0.8098 |
| 0.4013 | 2.0 | 2500 | 0.4905 | 0.8123 |
| 0.2941 | 3.0 | 3750 | 0.5455 | 0.8104 |
| 0.2136 | 4.0 | 5000 | 0.6100 | 0.8096 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3