metadata
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-inspiration
results: []
xlm-roberta-base-inspiration
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6556
- Accuracy: 0.8641
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5756 | 1.0 | 1237 | 0.3758 | 0.8439 |
| 0.4435 | 2.0 | 2474 | 0.4046 | 0.8552 |
| 0.2808 | 3.0 | 3711 | 0.6056 | 0.8592 |
| 0.2651 | 4.0 | 4948 | 0.5807 | 0.8592 |
| 0.1607 | 5.0 | 6185 | 0.6556 | 0.8641 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1