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xlm-roberta-base-Balance_Mixed-aug_swap
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7486
- Accuracy: 0.75
- F1: 0.7435
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
1.0487 | 1.0 | 172 | 0.9436 | 0.61 | 0.5104 |
0.7577 | 2.0 | 344 | 0.6705 | 0.69 | 0.6895 |
0.5052 | 3.0 | 516 | 0.9030 | 0.72 | 0.6967 |
0.3025 | 4.0 | 688 | 1.2765 | 0.69 | 0.6949 |
0.2384 | 5.0 | 860 | 1.4877 | 0.75 | 0.7401 |
0.1357 | 6.0 | 1032 | 1.6076 | 0.72 | 0.7090 |
0.1142 | 7.0 | 1204 | 1.6964 | 0.75 | 0.7397 |
0.06 | 8.0 | 1376 | 1.7486 | 0.75 | 0.7435 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3