|
--- |
|
base_model: KBLab/bert-base-swedish-cased |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- ChangeIsKey/kubhist2 |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: test-mlm |
|
results: |
|
- task: |
|
name: Masked Language Modeling |
|
type: fill-mask |
|
dataset: |
|
name: ChangeIsKey/kubhist2 |
|
type: ChangeIsKey/kubhist2 |
|
config: all |
|
split: train[:5%] |
|
args: all |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.49963541184895327 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# test-mlm |
|
|
|
This model is a fine-tuned version of [KBLab/bert-base-swedish-cased](https://huggingface.co/KBLab/bert-base-swedish-cased) on the ChangeIsKey/kubhist2 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.8883 |
|
- Accuracy: 0.4996 |
|
|
|
## 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: 128 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 512 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3.0 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.1 |
|
- Pytorch 1.12.0 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
