metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: xlm-roberta-base-finetuned-squad2
results: []
language:
- en
- ar
- de
- el
- es
- hi
- ro
- ru
- th
- tr
- vi
- zh
xlm-roberta-base-finetuned-squad2
This model is a fine-tuned version of xlm-roberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9802
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0539 | 1.0 | 8333 | 0.9962 |
| 0.8013 | 2.0 | 16666 | 0.8910 |
| 0.5918 | 3.0 | 24999 | 0.9802 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3