|
--- |
|
license: mit |
|
base_model: microsoft/mdeberta-v3-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: mdeberta-idkmrc |
|
results: [] |
|
datasets: |
|
- rifkiaputri/idk-mrc |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# mdeberta-idkmrc |
|
|
|
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6436 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 1.074 | 1.0 | 1167 | 1.0261 | |
|
| 0.7109 | 2.0 | 2334 | 0.8206 | |
|
| 0.5088 | 3.0 | 3501 | 1.0899 | |
|
| 0.3777 | 4.0 | 4668 | 1.0080 | |
|
| 0.2585 | 5.0 | 5835 | 1.2647 | |
|
| 0.2059 | 6.0 | 7002 | 1.4279 | |
|
| 0.176 | 7.0 | 8169 | 1.4197 | |
|
| 0.126 | 8.0 | 9336 | 1.6170 | |
|
| 0.1017 | 9.0 | 10503 | 1.6357 | |
|
| 0.0751 | 10.0 | 11670 | 1.6436 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
