|
--- |
|
license: apache-2.0 |
|
base_model: line-corporation/line-distilbert-base-japanese |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: fc-binary-prompt-unfrozen-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-unfrozen-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: 0.2808 |
|
- Accuracy: 0.9238 |
|
|
|
## 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: 6 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 306 | 0.3327 | 0.875 | |
|
| 0.3288 | 2.0 | 612 | 0.2602 | 0.8926 | |
|
| 0.3288 | 3.0 | 918 | 0.2110 | 0.9160 | |
|
| 0.1925 | 4.0 | 1224 | 0.2477 | 0.9180 | |
|
| 0.1036 | 5.0 | 1530 | 0.2706 | 0.9199 | |
|
| 0.1036 | 6.0 | 1836 | 0.2808 | 0.9238 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.0 |
|
|