|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: QA_SYNTH_DATA_WITH_UNANSWERABLE_24_AUG |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# QA_SYNTH_DATA_WITH_UNANSWERABLE_24_AUG |
|
|
|
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0021 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.1499 | 1.0 | 7311 | 0.0633 | |
|
| 0.0494 | 2.0 | 14622 | 0.0603 | |
|
| 0.0259 | 3.0 | 21933 | 0.0119 | |
|
| 0.0179 | 4.0 | 29244 | 0.0104 | |
|
| 0.0193 | 5.0 | 36555 | 0.0082 | |
|
| 0.0188 | 6.0 | 43866 | 0.0075 | |
|
| 0.0045 | 7.0 | 51177 | 0.0040 | |
|
| 0.0 | 8.0 | 58488 | 0.0023 | |
|
| 0.0 | 9.0 | 65799 | 0.0065 | |
|
| 0.0 | 10.0 | 73110 | 0.0021 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
