metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xmlRoBert-Balanced-trimmed-20epoch
results: []
xmlRoBert-Balanced-trimmed-20epoch
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: 1.0586
- Accuracy: 0.4545
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 4 | 1.0327 | 0.5 |
| No log | 2.0 | 8 | 0.9829 | 0.5 |
| No log | 3.0 | 12 | 1.0224 | 0.5 |
| No log | 4.0 | 16 | 0.9787 | 0.5 |
| No log | 5.0 | 20 | 0.9988 | 0.5 |
| No log | 6.0 | 24 | 0.9854 | 0.5 |
| No log | 7.0 | 28 | 0.9853 | 0.5 |
| No log | 8.0 | 32 | 1.0182 | 0.5455 |
| No log | 9.0 | 36 | 1.0077 | 0.5 |
| No log | 10.0 | 40 | 1.0143 | 0.5 |
| No log | 11.0 | 44 | 1.0110 | 0.5 |
| No log | 12.0 | 48 | 0.9900 | 0.5 |
| No log | 13.0 | 52 | 0.9904 | 0.5 |
| No log | 14.0 | 56 | 1.0003 | 0.4545 |
| No log | 15.0 | 60 | 1.0287 | 0.5455 |
| No log | 16.0 | 64 | 1.0526 | 0.5455 |
| No log | 17.0 | 68 | 1.0608 | 0.5 |
| No log | 18.0 | 72 | 1.0643 | 0.5 |
| No log | 19.0 | 76 | 1.0631 | 0.5 |
| No log | 20.0 | 80 | 1.0586 | 0.4545 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1