metadata
license: mit
base_model: xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: xlmrlarge-webis
results: []
xlmrlarge-webis
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: 5.6078
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 200 | 2.7023 |
| No log | 2.0 | 400 | 2.5847 |
| 2.5797 | 3.0 | 600 | 2.7460 |
| 2.5797 | 4.0 | 800 | 3.3822 |
| 0.8578 | 5.0 | 1000 | 3.8268 |
| 0.8578 | 6.0 | 1200 | 4.4783 |
| 0.8578 | 7.0 | 1400 | 5.0087 |
| 0.2619 | 8.0 | 1600 | 5.5192 |
| 0.2619 | 9.0 | 1800 | 5.5585 |
| 0.1092 | 10.0 | 2000 | 5.6078 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1