metadata
tags:
- generated_from_trainer
model-index:
- name: ind_roberta
results: []
ind_roberta
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3372
- Accuracy@en: 0.89
- F1@en: 0.8859
- Precision@en: 0.8864
- Recall@en: 0.8854
- Loss@en: 0.3372
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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy@en | F1@en | Precision@en | Recall@en | Loss@en |
|---|---|---|---|---|---|---|---|---|
| 0.389 | 1.0 | 375 | 0.3372 | 0.89 | 0.8859 | 0.8864 | 0.8854 | 0.3372 |
| 0.2437 | 2.0 | 750 | 0.3435 | 0.9 | 0.8967 | 0.8957 | 0.8977 | 0.3435 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2