metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned
results: []
xlm-roberta-base-finetuned
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: 0.4852
- eval_f1: 0.8009
- eval_accuracy: 0.901
- eval_runtime: 13.6483
- eval_samples_per_second: 366.347
- eval_steps_per_second: 22.933
- epoch: 5.0
- step: 3595
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: 7.889038893287002e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 37
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.2+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1