metadata
license: mit
base_model: reecursion/xlm-roberta-base-inspiration
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-annotated-inspiration
results: []
xlm-roberta-base-annotated-inspiration
This model is a fine-tuned version of reecursion/xlm-roberta-base-inspiration on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5577
- Accuracy: 0.8
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 |
|---|---|---|---|---|
| 0.8034 | 1.0 | 20 | 0.8061 | 0.75 |
| 0.7374 | 2.0 | 40 | 0.6928 | 0.8 |
| 0.5701 | 3.0 | 60 | 0.5792 | 0.8 |
| 0.5368 | 4.0 | 80 | 0.5152 | 0.8 |
| 0.4811 | 5.0 | 100 | 0.5577 | 0.8 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2