---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- generated_from_trainer
model-index:
- name: BitNet-based-Llama2-jp-test
  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. -->

# BitNet-based-Llama2-jp-test

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 92.3872

## 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: 0.0005
- train_batch_size: 156
- eval_batch_size: 156
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 92.3586       | 0.06  | 100  | 92.3876         |
| 92.3629       | 0.12  | 200  | 92.3877         |
| 92.3395       | 0.18  | 300  | 92.3753         |
| 92.3229       | 0.24  | 400  | 92.3346         |
| 92.3158       | 0.3   | 500  | 92.3378         |
| 92.3411       | 0.36  | 600  | 92.3068         |
| 92.3362       | 0.42  | 700  | 92.3086         |
| 92.3304       | 0.48  | 800  | 92.3751         |
| 92.3344       | 0.55  | 900  | 92.3510         |
| 92.3355       | 0.61  | 1000 | 92.3283         |
| 92.3628       | 0.67  | 1100 | 92.3356         |
| 92.337        | 0.73  | 1200 | 92.3693         |
| 92.3825       | 0.79  | 1300 | 92.3734         |
| 92.3569       | 0.85  | 1400 | 92.2878         |
| 92.3633       | 0.91  | 1500 | 92.3738         |
| 92.3392       | 0.97  | 1600 | 92.3872         |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2