|
--- |
|
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: 0.6978625703821133 |
|
--- |
|
|
|
<!-- 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: 1.3352 |
|
- F1: 0.6979 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 1.3039 | 1.0 | 131 | 1.0720 | 0.5871 | |
|
| 0.7911 | 2.0 | 262 | 0.9581 | 0.6335 | |
|
| 0.5448 | 3.0 | 393 | 0.9162 | 0.6718 | |
|
| 0.3709 | 4.0 | 524 | 0.9722 | 0.6819 | |
|
| 0.2565 | 5.0 | 655 | 1.0484 | 0.6847 | |
|
| 0.1923 | 6.0 | 786 | 1.1410 | 0.6924 | |
|
| 0.145 | 7.0 | 917 | 1.1692 | 0.6995 | |
|
| 0.1104 | 8.0 | 1048 | 1.2592 | 0.6981 | |
|
| 0.086 | 9.0 | 1179 | 1.3307 | 0.6972 | |
|
| 0.0715 | 10.0 | 1310 | 1.3352 | 0.6979 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
