transformers pytorch distilbert generated_from_trainer base_model:line-corporation/line-distilbert-base-japanese license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: line-corporation/line-distilbert-base-japanese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fc-binary-model
  results: []
---

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# fc-binary-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: 0.3017
- Accuracy: 0.8730

## 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  | 0.3749          | 0.8594   |
| 0.4009        | 2.0   | 612  | 0.3578          | 0.8594   |
| 0.4009        | 3.0   | 918  | 0.3448          | 0.8613   |
| 0.3811        | 4.0   | 1224 | 0.3416          | 0.8613   |
| 0.3694        | 5.0   | 1530 | 0.3344          | 0.8613   |
| 0.3694        | 6.0   | 1836 | 0.3284          | 0.8652   |
| 0.3623        | 7.0   | 2142 | 0.3274          | 0.8633   |
| 0.3623        | 8.0   | 2448 | 0.3236          | 0.8652   |
| 0.3566        | 9.0   | 2754 | 0.3216          | 0.8633   |
| 0.349         | 10.0  | 3060 | 0.3174          | 0.8691   |
| 0.349         | 11.0  | 3366 | 0.3145          | 0.875    |
| 0.3512        | 12.0  | 3672 | 0.3135          | 0.8711   |
| 0.3512        | 13.0  | 3978 | 0.3102          | 0.8711   |
| 0.3455        | 14.0  | 4284 | 0.3119          | 0.8770   |
| 0.3427        | 15.0  | 4590 | 0.3100          | 0.875    |
| 0.3427        | 16.0  | 4896 | 0.3074          | 0.8711   |
| 0.3366        | 17.0  | 5202 | 0.3055          | 0.875    |
| 0.3385        | 18.0  | 5508 | 0.3068          | 0.875    |
| 0.3385        | 19.0  | 5814 | 0.3065          | 0.875    |
| 0.3342        | 20.0  | 6120 | 0.3047          | 0.875    |
| 0.3342        | 21.0  | 6426 | 0.3046          | 0.8770   |
| 0.3313        | 22.0  | 6732 | 0.3049          | 0.875    |
| 0.3349        | 23.0  | 7038 | 0.3035          | 0.875    |
| 0.3349        | 24.0  | 7344 | 0.3029          | 0.8730   |
| 0.3309        | 25.0  | 7650 | 0.3031          | 0.8730   |
| 0.3309        | 26.0  | 7956 | 0.3026          | 0.8711   |
| 0.326         | 27.0  | 8262 | 0.3026          | 0.875    |
| 0.3271        | 28.0  | 8568 | 0.3019          | 0.8730   |
| 0.3271        | 29.0  | 8874 | 0.3018          | 0.8730   |
| 0.3308        | 30.0  | 9180 | 0.3017          | 0.8730   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
