metadata
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
- generated_from_trainer
model-index:
- name: XlM-roberta-AS-HU-f1-score
results: []
XlM-roberta-AS-HU-f1-score
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1081
- F1-score: 0.8389
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.6852 | 1.0 | 64 | 0.6780 | 0.3697 |
| 0.6514 | 2.0 | 128 | 0.5578 | 0.6958 |
| 0.5075 | 3.0 | 192 | 0.5620 | 0.7619 |
| 0.401 | 4.0 | 256 | 0.5068 | 0.7688 |
| 0.2288 | 5.0 | 320 | 0.6490 | 0.8084 |
| 0.1424 | 6.0 | 384 | 0.7662 | 0.8350 |
| 0.0837 | 7.0 | 448 | 0.9138 | 0.8389 |
| 0.0463 | 8.0 | 512 | 1.0355 | 0.8247 |
| 0.0108 | 9.0 | 576 | 1.0874 | 0.8345 |
| 0.0069 | 10.0 | 640 | 1.1081 | 0.8389 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1