metadata
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment_analysis_model_rpsi
results: []
sentiment_analysis_model_rpsi
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5686
- Accuracy: 0.8018
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7314 | 1.0 | 3378 | 0.6028 | 0.7367 |
| 0.563 | 2.0 | 6756 | 0.5503 | 0.7646 |
| 0.4859 | 3.0 | 10134 | 0.5316 | 0.7847 |
| 0.421 | 4.0 | 13512 | 0.5223 | 0.7954 |
| 0.3668 | 5.0 | 16890 | 0.5514 | 0.7973 |
| 0.3266 | 6.0 | 20268 | 0.5686 | 0.8018 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1