| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: ES_roberta_30_prepro |
| | 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. --> |
| |
|
| | # ES_roberta_30_prepro |
| | |
| | This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Exact Match: 26.25 |
| | - F1: 36.0319 |
| | - Loss: 1.2394 |
| | |
| | ## 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: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 256 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 3.0 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Exact Match | F1 | Validation Loss | |
| | |:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:| |
| | | No log | 1.0 | 305 | 22.9167 | 34.1584 | 1.0608 | |
| | | 0.7921 | 2.0 | 610 | 25.0 | 35.1179 | 1.0869 | |
| | | 0.7921 | 3.0 | 915 | 26.25 | 36.0319 | 1.2394 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.25.1 |
| | - Pytorch 1.13.0+cu117 |
| | - Datasets 2.7.1 |
| | - Tokenizers 0.13.2 |
| | |
