V2_20230929-6-xlm-roberta-base-new
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.4553
- Loss: 2.9349
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: 15
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 4.4437 | 1.38 | 200 | 0.2667 | 4.2562 |
| 3.9303 | 2.76 | 400 | 0.3571 | 3.6777 |
| 3.5316 | 4.14 | 600 | 0.3904 | 3.5382 |
| 3.2553 | 5.52 | 800 | 0.4615 | 3.1063 |
| 3.1387 | 6.9 | 1000 | 0.4494 | 2.9509 |
| 3.0595 | 8.28 | 1200 | 0.4506 | 2.9728 |
| 2.9643 | 9.66 | 1400 | 0.4380 | 2.8324 |
| 2.8917 | 11.03 | 1600 | 0.4667 | 2.8319 |
| 2.8581 | 12.41 | 1800 | 0.4681 | 2.9051 |
| 2.8575 | 13.79 | 2000 | 0.4553 | 2.9349 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3