|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- universal_dependencies |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: rubert-base-cased-finetuned-panx-de |
|
results: |
|
- task: |
|
name: Token Classification |
|
type: token-classification |
|
dataset: |
|
name: universal_dependencies |
|
type: universal_dependencies |
|
config: ru_taiga |
|
split: train |
|
args: ru_taiga |
|
metrics: |
|
- name: F1 |
|
type: f1 |
|
value: 0.6469997769350881 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# rubert-base-cased-finetuned-panx-de |
|
|
|
This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the universal_dependencies dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.9529 |
|
- F1: 0.6470 |
|
|
|
## 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: 24 |
|
- eval_batch_size: 24 |
|
- 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 | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 1.3108 | 1.0 | 131 | 1.0921 | 0.5891 | |
|
| 0.8144 | 2.0 | 262 | 0.9781 | 0.6257 | |
|
| 0.6165 | 3.0 | 393 | 0.9529 | 0.6470 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
