|
--- |
|
license: apache-2.0 |
|
base_model: distilroberta-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: DistilRoBERTa_Thunderbird-Anomaly_Baseline |
|
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_Thunderbird-Anomaly_Baseline |
|
|
|
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0031 |
|
- Accuracy: 0.9999 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- 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 | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.0958 | 1.0 | 1094 | 0.0623 | 0.9846 | |
|
| 0.0514 | 2.0 | 2188 | 0.0340 | 0.9846 | |
|
| 0.0261 | 3.0 | 3282 | 0.0168 | 0.9896 | |
|
| 0.0147 | 4.0 | 4376 | 0.0095 | 1.0 | |
|
| 0.01 | 5.0 | 5470 | 0.0061 | 1.0 | |
|
| 0.0071 | 6.0 | 6564 | 0.0042 | 1.0 | |
|
| 0.0058 | 7.0 | 7658 | 0.0031 | 1.0 | |
|
| 0.0046 | 8.0 | 8752 | 0.0025 | 1.0 | |
|
| 0.0043 | 9.0 | 9846 | 0.0022 | 1.0 | |
|
| 0.0038 | 10.0 | 10940 | 0.0021 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
