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tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: pad_left
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. -->
# pad_left
This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Exact Match: 56.6667
- F1: 65.2553
- Loss: 3.6763
## 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: 8
- 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_ratio: 0.1
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Exact Match | F1 | Validation Loss |
|:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:|
| 3.2927 | 0.5 | 500 | 40.0 | 47.4740 | 1.6933 |
| 1.3259 | 1.0 | 1000 | 52.5 | 62.2490 | 1.3006 |
| 0.8054 | 1.5 | 1500 | 53.75 | 62.8486 | 1.1766 |
| 0.7301 | 2.0 | 2000 | 53.3333 | 63.2201 | 1.1560 |
| 0.2873 | 2.51 | 2500 | 52.5 | 62.0972 | 1.7569 |
| 0.3298 | 3.01 | 3000 | 54.1667 | 63.9874 | 1.5193 |
| 0.1314 | 3.51 | 3500 | 54.5833 | 63.9709 | 2.4847 |
| 0.1444 | 4.01 | 4000 | 55.8333 | 65.8511 | 2.3190 |
| 0.0792 | 4.51 | 4500 | 55.8333 | 65.2121 | 2.7640 |
| 0.0843 | 5.01 | 5000 | 53.3333 | 62.7642 | 3.0308 |
| 0.0419 | 5.51 | 5500 | 55.4167 | 65.3449 | 3.1388 |
| 0.0398 | 6.01 | 6000 | 55.8333 | 65.1194 | 3.4126 |
| 0.0307 | 6.51 | 6500 | 58.3333 | 66.8042 | 3.3642 |
| 0.0231 | 7.01 | 7000 | 55.4167 | 64.5461 | 3.5422 |
| 0.0093 | 7.52 | 7500 | 59.1667 | 67.8312 | 3.6604 |
| 0.0126 | 8.02 | 8000 | 55.8333 | 65.3008 | 3.7195 |
| 0.0063 | 8.52 | 8500 | 57.9167 | 65.9737 | 3.7285 |
| 0.0069 | 9.02 | 9000 | 57.9167 | 65.9792 | 3.7144 |
| 0.0044 | 9.52 | 9500 | 56.6667 | 65.2553 | 3.6763 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
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