| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | base_model: distilroberta-base |
| | model-index: |
| | - name: distilroberta-base-mrl |
| | 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-mrl |
| |
|
| | 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: 0.0170 |
| | - Accuracy: 0.9967 |
| | - F1: 0.9967 |
| |
|
| | ## 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: 2.1821851463909416e-05 |
| | - train_batch_size: 400 |
| | - eval_batch_size: 400 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 9 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | No log | 1.0 | 48 | 0.0265 | 0.9946 | 0.9946 | |
| | | No log | 2.0 | 96 | 0.0180 | 0.9962 | 0.9962 | |
| | | No log | 3.0 | 144 | 0.0163 | 0.9962 | 0.9962 | |
| | | No log | 4.0 | 192 | 0.0194 | 0.9946 | 0.9946 | |
| | | No log | 5.0 | 240 | 0.0193 | 0.9942 | 0.9942 | |
| | | No log | 6.0 | 288 | 0.0172 | 0.9967 | 0.9967 | |
| | | No log | 7.0 | 336 | 0.0206 | 0.9954 | 0.9954 | |
| | | No log | 8.0 | 384 | 0.0183 | 0.9962 | 0.9962 | |
| | | No log | 9.0 | 432 | 0.0170 | 0.9967 | 0.9967 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.18.0 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.12.1 |
| |
|
