|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: myBit-Llama2-jp-127M-test-28 |
|
|
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-28 |
|
|
|
|
|
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: 3.5376 |
|
|
|
|
|
## 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: 0.0024 |
|
|
- train_batch_size: 96 |
|
|
- eval_batch_size: 96 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 5000 |
|
|
- num_epochs: 1 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
|
| 5.015 | 0.05 | 2000 | 4.0397 | |
|
|
| 3.9362 | 0.1 | 4000 | 3.8746 | |
|
|
| 3.9138 | 0.15 | 6000 | 4.0041 | |
|
|
| 3.9033 | 0.2 | 8000 | 3.8676 | |
|
|
| 3.8408 | 0.25 | 10000 | 3.8122 | |
|
|
| 3.8043 | 0.29 | 12000 | 3.8096 | |
|
|
| 3.7816 | 0.34 | 14000 | 3.7726 | |
|
|
| 3.7578 | 0.39 | 16000 | 3.7465 | |
|
|
| 3.7396 | 0.44 | 18000 | 3.7269 | |
|
|
| 3.7254 | 0.49 | 20000 | 3.7242 | |
|
|
| 3.712 | 0.54 | 22000 | 3.7005 | |
|
|
| 3.7014 | 0.59 | 24000 | 3.7055 | |
|
|
| 3.6999 | 0.64 | 26000 | 3.6937 | |
|
|
| 3.6877 | 0.69 | 28000 | 3.6774 | |
|
|
| 3.6725 | 0.74 | 30000 | 3.6593 | |
|
|
| 3.6556 | 0.79 | 32000 | 3.6526 | |
|
|
| 3.6409 | 0.83 | 34000 | 3.6319 | |
|
|
| 3.6206 | 0.88 | 36000 | 3.6091 | |
|
|
| 3.5953 | 0.93 | 38000 | 3.5774 | |
|
|
| 3.5597 | 0.98 | 40000 | 3.5376 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.38.2 |
|
|
- Pytorch 2.2.1+cu121 |
|
|
- Datasets 2.18.0 |
|
|
- Tokenizers 0.15.2 |
|
|
- mybitnet 0.5.7 |
|
|
|
