|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- source_data_nlp |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
model-index: |
|
- name: sd-panelization-v2 |
|
results: |
|
- task: |
|
name: Token Classification |
|
type: token-classification |
|
dataset: |
|
name: source_data_nlp |
|
type: source_data_nlp |
|
args: PANELIZATION |
|
metrics: |
|
- name: Precision |
|
type: precision |
|
value: 0.9134245120169964 |
|
- name: Recall |
|
type: recall |
|
value: 0.9494824016563147 |
|
- name: F1 |
|
type: f1 |
|
value: 0.9311044937736871 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# sd-panelization-v2 |
|
|
|
This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the source_data_nlp dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0050 |
|
- Accuracy Score: 0.9982 |
|
- Precision: 0.9134 |
|
- Recall: 0.9495 |
|
- F1: 0.9311 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 256 |
|
- seed: 42 |
|
- optimizer: Adafactor |
|
- lr_scheduler_type: linear |
|
- num_epochs: 1.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy Score | Precision | Recall | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:| |
|
| 0.0048 | 1.0 | 431 | 0.0050 | 0.9982 | 0.9134 | 0.9495 | 0.9311 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.0 |
|
- Pytorch 1.11.0a0+bfe5ad2 |
|
- Datasets 1.17.0 |
|
- Tokenizers 0.12.1 |
|
|
