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---
license: apache-2.0
base_model: line-corporation/line-distilbert-base-japanese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fc-binary-prompt-model
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. -->
# fc-binary-prompt-model
This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3427
- Accuracy: 0.8672
## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 306 | 0.3954 | 0.8594 |
| 0.4092 | 2.0 | 612 | 0.3867 | 0.8594 |
| 0.4092 | 3.0 | 918 | 0.3787 | 0.8594 |
| 0.4011 | 4.0 | 1224 | 0.3747 | 0.8594 |
| 0.3937 | 5.0 | 1530 | 0.3699 | 0.8594 |
| 0.3937 | 6.0 | 1836 | 0.3664 | 0.8594 |
| 0.3896 | 7.0 | 2142 | 0.3700 | 0.8594 |
| 0.3896 | 8.0 | 2448 | 0.3626 | 0.8594 |
| 0.3868 | 9.0 | 2754 | 0.3671 | 0.8613 |
| 0.3813 | 10.0 | 3060 | 0.3537 | 0.8594 |
| 0.3813 | 11.0 | 3366 | 0.3633 | 0.8613 |
| 0.3844 | 12.0 | 3672 | 0.3523 | 0.8613 |
| 0.3844 | 13.0 | 3978 | 0.3523 | 0.8613 |
| 0.3799 | 14.0 | 4284 | 0.3499 | 0.8613 |
| 0.3791 | 15.0 | 4590 | 0.3530 | 0.8633 |
| 0.3791 | 16.0 | 4896 | 0.3499 | 0.8633 |
| 0.3735 | 17.0 | 5202 | 0.3465 | 0.8613 |
| 0.3767 | 18.0 | 5508 | 0.3447 | 0.8613 |
| 0.3767 | 19.0 | 5814 | 0.3457 | 0.8633 |
| 0.3733 | 20.0 | 6120 | 0.3413 | 0.8613 |
| 0.3733 | 21.0 | 6426 | 0.3448 | 0.8633 |
| 0.3721 | 22.0 | 6732 | 0.3438 | 0.8652 |
| 0.3753 | 23.0 | 7038 | 0.3440 | 0.8652 |
| 0.3753 | 24.0 | 7344 | 0.3442 | 0.8672 |
| 0.3726 | 25.0 | 7650 | 0.3459 | 0.8691 |
| 0.3726 | 26.0 | 7956 | 0.3448 | 0.8672 |
| 0.3675 | 27.0 | 8262 | 0.3416 | 0.8672 |
| 0.3686 | 28.0 | 8568 | 0.3425 | 0.8672 |
| 0.3686 | 29.0 | 8874 | 0.3429 | 0.8672 |
| 0.3726 | 30.0 | 9180 | 0.3427 | 0.8672 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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