ja / README.md
dwmit's picture
update model card README.md
cdbe5ad
|
Raw
History Blame Contribute Delete
1.65 kB
---
tags:
- generated_from_trainer
model-index:
- name: ja
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. -->
# ja
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9466
## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log | 1.0 | 1326 | 1.2739 |
| No log | 2.0 | 2652 | 1.1404 |
| No log | 3.0 | 3978 | 1.0791 |
| No log | 4.0 | 5304 | 1.0383 |
| No log | 5.0 | 6630 | 1.0098 |
| No log | 6.0 | 7956 | 0.9905 |
| No log | 7.0 | 9282 | 0.9690 |
| 1.1782 | 8.0 | 10608 | 0.9614 |
| 1.1782 | 9.0 | 11934 | 0.9519 |
| 1.1782 | 10.0 | 13260 | 0.9464 |
### Framework versions
- Transformers 4.28.1
- Pytorch 1.13.0+cu117
- Datasets 2.11.0
- Tokenizers 0.11.6