|
--- |
|
library_name: transformers |
|
license: mit |
|
base_model: roberta-large |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: cic2019_no_udp_lag |
|
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. --> |
|
|
|
# cic2019_no_udp_lag |
|
|
|
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1961 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.2251 | 1.0 | 1250 | 0.1962 | |
|
| 0.2055 | 2.0 | 2500 | 0.1886 | |
|
| 0.2117 | 3.0 | 3750 | 0.1955 | |
|
| 0.2237 | 4.0 | 5000 | 0.1787 | |
|
| 0.1802 | 5.0 | 6250 | 0.1961 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.0.dev0 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
|
|
