metadata
library_name: transformers
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: crowd_sourced_web_classifier
results: []
crowd_sourced_web_classifier
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: 1.5927
- Accuracy: 0.4858
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: 0.002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 124 | 1.7959 | 0.4906 |
| No log | 2.0 | 248 | 1.6943 | 0.4575 |
| No log | 3.0 | 372 | 1.6259 | 0.5047 |
| No log | 4.0 | 496 | 1.5927 | 0.4858 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0
- Datasets 4.4.1
- Tokenizers 0.22.1