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xlm-roberta-base-Balance_Mixed-train
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: 0.8559
- Accuracy: 0.76
- F1: 0.7650
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 |
---|---|---|---|---|---|
1.096 | 1.0 | 88 | 0.9979 | 0.58 | 0.5233 |
0.9527 | 2.0 | 176 | 0.7392 | 0.64 | 0.6155 |
0.7541 | 3.0 | 264 | 0.6740 | 0.73 | 0.7118 |
0.5891 | 4.0 | 352 | 0.5188 | 0.8 | 0.7962 |
0.4599 | 5.0 | 440 | 0.5250 | 0.83 | 0.8328 |
0.3926 | 6.0 | 528 | 0.6659 | 0.79 | 0.7918 |
0.2917 | 7.0 | 616 | 0.7910 | 0.77 | 0.7717 |
0.2835 | 8.0 | 704 | 0.8559 | 0.76 | 0.7650 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3