|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: myBit-Llama2-jp-127M-test-12 |
|
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. --> |
|
|
|
# myBit-Llama2-jp-127M-test-12 |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co./) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 6.3033 |
|
|
|
## 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: 0.00024 |
|
- train_batch_size: 96 |
|
- eval_batch_size: 96 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: polynomial |
|
- lr_scheduler_warmup_steps: 50 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 10.0642 | 0.07 | 20 | 9.4022 | |
|
| 9.0973 | 0.15 | 40 | 8.6900 | |
|
| 8.3576 | 0.22 | 60 | 7.9690 | |
|
| 7.7499 | 0.29 | 80 | 7.4678 | |
|
| 7.3343 | 0.36 | 100 | 7.1266 | |
|
| 7.0503 | 0.44 | 120 | 6.9132 | |
|
| 6.9035 | 0.51 | 140 | 6.8141 | |
|
| 6.8471 | 0.58 | 160 | 6.7611 | |
|
| 6.8217 | 0.65 | 180 | 6.7305 | |
|
| 6.7783 | 0.73 | 200 | 6.6345 | |
|
| 6.6382 | 0.8 | 220 | 6.4734 | |
|
| 6.5006 | 0.87 | 240 | 6.3855 | |
|
| 6.4282 | 0.95 | 260 | 6.3033 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
