rm23_ctry_v2lr
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2185
- F1: 0.9566
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: 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: 4
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.2088 | 1.0 | 17996 | 0.1879 | 0.9311 |
0.1477 | 2.0 | 35992 | 0.1772 | 0.9467 |
0.1006 | 3.0 | 53988 | 0.2101 | 0.9508 |
0.0615 | 4.0 | 71984 | 0.2185 | 0.9566 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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