|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: distilroberta-base-testingSB |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# distilroberta-base-testingSB |
|
|
|
|
|
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on a company specific, Danish dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.0403 |
|
|
|
|
|
## Model description |
|
|
|
|
|
Customer-specific model used to embed asset management work orders in Danish |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
Customer-specific and trained for unsupervised categorization tasks |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 2e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 3.0 |
|
|
|
|
|
### Training results |
|
|
Epoch Training Loss Validation Loss |
|
|
1 0.988500 1.056376 |
|
|
2 0.996300 1.027803 |
|
|
3 0.990300 1.040270 |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 0.98850 | 1.0 | 1461 | 1.5211 | |
|
|
| 1.3179 | 2.0 | 2922 | 1.3314 | |
|
|
| 1.1931 | 3.0 | 4383 | 1.2530 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.12.5 |
|
|
- Pytorch 1.10.0+cu111 |
|
|
- Datasets 1.15.1 |
|
|
- Tokenizers 0.10.3 |
|
|
|
