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

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: 3.7091

## 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: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 19.3793       | 0.04  | 1000  | 5.3113          |
| 5.0921        | 0.08  | 2000  | 4.9641          |
| 4.8154        | 0.12  | 3000  | 4.7104          |
| 4.6664        | 0.16  | 4000  | 4.5876          |
| 4.5545        | 0.2   | 5000  | 4.5258          |
| 4.4743        | 0.24  | 6000  | 4.4283          |
| 4.4061        | 0.28  | 7000  | 4.3539          |
| 4.3117        | 0.32  | 8000  | 4.2735          |
| 4.2433        | 0.36  | 9000  | 4.2243          |
| 4.2037        | 0.4   | 10000 | 4.1739          |
| 4.1576        | 0.44  | 11000 | 4.1266          |
| 4.0925        | 0.48  | 12000 | 4.0624          |
| 4.0615        | 0.52  | 13000 | 4.0433          |
| 4.0151        | 0.56  | 14000 | 3.9993          |
| 3.9721        | 0.6   | 15000 | 3.9721          |
| 3.941         | 0.64  | 16000 | 3.9185          |
| 3.9           | 0.68  | 17000 | 3.8841          |
| 3.8719        | 0.72  | 18000 | 3.8539          |
| 3.8376        | 0.76  | 19000 | 3.8189          |
| 3.8131        | 0.8   | 20000 | 3.7946          |
| 3.7801        | 0.84  | 21000 | 3.7739          |
| 3.7604        | 0.88  | 22000 | 3.7515          |
| 3.7413        | 0.92  | 23000 | 3.7365          |
| 3.7265        | 0.96  | 24000 | 3.7231          |
| 3.7152        | 1.0   | 25000 | 3.7091          |


### Framework versions

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