|
|
--- |
|
|
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 |
|
|
|
