---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# myBit-Llama2-jp-127M-2

This model was built by referring to the config in [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0), 123M The model is a pre-trained Bit-Llama2 of Parameters with only 1 epoch on a Japanese dataset. 
The dataset used is [range3/wiki40b-ja](https://huggingface.co/datasets/range3/wiki40b-ja).
- Loss: 3.0972

## Model description

Github：　[BitNet-b158](https://github.com/Hajime-Y/BitNet-b158)  
More information about this model can be found in the following pages:  
[BitNet&BitNet b158の実装](https://note.com/hatti8/n/nc6890e79a19a)

## 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: 5000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.9469        | 0.05  | 2000  | 4.7495          |
| 4.4263        | 0.1   | 4000  | 4.2282          |
| 4.0799        | 0.15  | 6000  | 3.9351          |
| 3.8199        | 0.2   | 8000  | 3.7209          |
| 3.6462        | 0.25  | 10000 | 3.5755          |
| 3.5239        | 0.29  | 12000 | 3.4803          |
| 3.4727        | 0.34  | 14000 | 3.4181          |
| 3.3953        | 0.39  | 16000 | 3.3752          |
| 3.3562        | 0.44  | 18000 | 3.3395          |
| 3.3272        | 0.49  | 20000 | 3.3166          |
| 3.2965        | 0.54  | 22000 | 3.2869          |
| 3.2771        | 0.59  | 24000 | 3.2680          |
| 3.2545        | 0.64  | 26000 | 3.2478          |
| 3.235         | 0.69  | 28000 | 3.2276          |
| 3.2189        | 0.74  | 30000 | 3.2054          |
| 3.1973        | 0.79  | 32000 | 3.1910          |
| 3.1793        | 0.83  | 34000 | 3.1675          |
| 3.1572        | 0.88  | 36000 | 3.1487          |
| 3.1406        | 0.93  | 38000 | 3.1279          |
| 3.1144        | 0.98  | 40000 | 3.0972          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2