metadata
license: mit
base_model: IProject-10/xlm-roberta-base-finetuned-squad2
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-TQuad2
results: []
xlm-roberta-base-finetuned-TQuad2
This model is a fine-tuned version of IProject-10/xlm-roberta-base-finetuned-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3530
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: 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 |
|---|---|---|---|
| 1.0578 | 1.0 | 889 | 1.2268 |
| 0.7147 | 2.0 | 1778 | 1.2469 |
| 0.5565 | 3.0 | 2667 | 1.3530 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1