metadata
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
library_name: transformers
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: twitter-roberta-sentiment-analysiss-lr-1e-5
results: []
twitter-roberta-sentiment-analysiss-lr-1e-5
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5804
- Balanced Accuracy: 0.6492
- Accuracy: 0.6649
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: 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| 0.4577 | 1.3889 | 200 | 0.4800 | 0.6217 | 0.5382 |
| 0.3676 | 2.7778 | 400 | 0.4861 | 0.6472 | 0.6059 |
| 0.3078 | 4.1667 | 600 | 0.5804 | 0.6492 | 0.6649 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3