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clasif-muchocine-roberta
This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5146
- Accuracy: 0.3394
Model description
This model has been made by someone who does NOT understand coding.
Intended uses & limitations
It was made during training, it should not be used.
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: 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 388 | 1.5140 | 0.3394 |
| 1.5524 | 2.0 | 776 | 1.5132 | 0.3394 |
| 1.5336 | 3.0 | 1164 | 1.5146 | 0.3394 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
