metadata
library_name: transformers
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
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:
- eval_loss: 1.9437
- eval_accuracy: 0.2264
- eval_runtime: 11.669
- eval_samples_per_second: 36.335
- eval_steps_per_second: 4.542
- epoch: 3.0
- step: 372
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: 5e-05
- 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: 6
- label_smoothing_factor: 0.1
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0
- Datasets 4.4.1
- Tokenizers 0.22.1