|
--- |
|
license: mit |
|
tags: |
|
- fill-mask |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: deberta-mlm-test |
|
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. --> |
|
|
|
# deberta-mlm-test |
|
|
|
This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.2792 |
|
- Accuracy: 0.4766 |
|
|
|
## 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: 5e-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: 5 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 4.4466 | 1.0 | 2067 | 4.1217 | 0.3847 | |
|
| 3.9191 | 2.0 | 4134 | 3.6562 | 0.4298 | |
|
| 3.6397 | 3.0 | 6201 | 3.4417 | 0.4550 | |
|
| 3.522 | 4.0 | 8268 | 3.3239 | 0.4692 | |
|
| 3.4504 | 5.0 | 10335 | 3.2792 | 0.4766 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.11.0a0+17540c5 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
