| --- |
| license: apache-2.0 |
| base_model: distilroberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: distilroberta-base_task2-2_macrof1 |
| 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_task2-2_macrof1 |
|
|
| 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: 0.6203 |
| - Macro F1: 0.3090 |
|
|
| ## 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: 1e-06 |
| - train_batch_size: 10 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Macro F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6541 | 1.0 | 553 | 0.6474 | 0.2768 | |
| | 0.7044 | 2.0 | 1106 | 0.6376 | 0.2768 | |
| | 0.6615 | 3.0 | 1659 | 0.6390 | 0.2768 | |
| | 0.6289 | 4.0 | 2212 | 0.6355 | 0.2768 | |
| | 0.5047 | 5.0 | 2765 | 0.6372 | 0.2841 | |
| | 0.5894 | 6.0 | 3318 | 0.6296 | 0.2983 | |
| | 0.5401 | 7.0 | 3871 | 0.6203 | 0.3090 | |
| | 0.7215 | 8.0 | 4424 | 0.6263 | 0.3080 | |
| | 0.6368 | 9.0 | 4977 | 0.6370 | 0.3033 | |
| | 0.4872 | 10.0 | 5530 | 0.6349 | 0.3024 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.1 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
| |
