metadata
tags:
- generated_from_trainer
datasets:
- source_data_nlp
metrics:
- precision
- recall
- f1
model-index:
- name: sd-panelization-v2
results: []
sd-panelization-v2
This model was trained from scratch on the source_data_nlp dataset. It achieves the following results on the evaluation set:
- Loss: 0.0075
- Accuracy Score: 0.9980
- Precision: 0.9651
- Recall: 0.9905
- F1: 0.9776
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: 64
- eval_batch_size: 256
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy Score | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.008 | 1.0 | 216 | 0.0072 | 0.9979 | 0.9715 | 0.9761 | 0.9738 |
| 0.005 | 2.0 | 432 | 0.0075 | 0.9980 | 0.9651 | 0.9905 | 0.9776 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0a0+bfe5ad2
- Datasets 1.17.0
- Tokenizers 0.12.1