---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- generated_from_trainer
model-index:
- name: Bit-Llama2-jp-123M-test-1
  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. -->

# Bit-Llama2-jp-123M-test-1

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: 4.8881

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 81.1838       | 0.06  | 100  | 36.2006         |
| 19.2038       | 0.12  | 200  | 14.9311         |
| 11.2975       | 0.18  | 300  | 7.1671          |
| 6.8849        | 0.24  | 400  | 7.7815          |
| 6.636         | 0.3   | 500  | 5.9966          |
| 5.8384        | 0.36  | 600  | 5.6706          |
| 5.5927        | 0.42  | 700  | 5.4943          |
| 5.3739        | 0.47  | 800  | 5.4396          |
| 5.2842        | 0.53  | 900  | 5.2687          |
| 5.1623        | 0.59  | 1000 | 5.1615          |
| 5.1032        | 0.65  | 1100 | 5.2671          |
| 5.0324        | 0.71  | 1200 | 5.0162          |
| 4.9742        | 0.77  | 1300 | 4.9700          |
| 4.9145        | 0.83  | 1400 | 4.9156          |
| 4.8702        | 0.89  | 1500 | 4.9086          |
| 4.8465        | 0.95  | 1600 | 4.8881          |


### Framework versions

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