metadata
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-large-fa-qa-finetune_on_1020qa
results: []
xlm-roberta-large-fa-qa-finetune_on_1020qa
This model is a fine-tuned version of SajjadAyoubi/xlm-roberta-large-fa-qa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5578
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: 3
- eval_batch_size: 3
- 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 |
|---|---|---|---|
| No log | 1.0 | 460 | 1.6157 |
| 2.8726 | 2.0 | 920 | 0.8636 |
| 1.8777 | 3.0 | 1380 | 0.5578 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2