---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-test-9
  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-9

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: 5.7432

## 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=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 250
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.0298        | 0.04  | 100  | 6.8090          |
| 6.6646        | 0.07  | 200  | 6.4142          |
| 6.6122        | 0.11  | 300  | 6.5336          |
| 6.3178        | 0.15  | 400  | 6.1932          |
| 6.2234        | 0.18  | 500  | 6.2133          |
| 6.3775        | 0.22  | 600  | 6.4767          |
| 6.5634        | 0.26  | 700  | 6.2278          |
| 6.2821        | 0.29  | 800  | 6.2418          |
| 6.2629        | 0.33  | 900  | 6.1478          |
| 6.1722        | 0.37  | 1000 | 6.1330          |
| 6.1431        | 0.4   | 1100 | 6.0922          |
| 6.1409        | 0.44  | 1200 | 6.0402          |
| 6.1356        | 0.48  | 1300 | 6.0740          |
| 6.0952        | 0.51  | 1400 | 6.0125          |
| 6.0549        | 0.55  | 1500 | 5.9976          |
| 6.1898        | 0.59  | 1600 | 6.0319          |
| 6.0732        | 0.62  | 1700 | 5.9750          |
| 6.0315        | 0.66  | 1800 | 5.9562          |
| 6.016         | 0.7   | 1900 | 5.9223          |
| 5.9743        | 0.74  | 2000 | 5.8803          |
| 5.9404        | 0.77  | 2100 | 6.0148          |
| 5.9275        | 0.81  | 2200 | 5.8391          |
| 5.8828        | 0.85  | 2300 | 5.8070          |
| 5.872         | 0.88  | 2400 | 5.7854          |
| 5.8438        | 0.92  | 2500 | 5.7637          |
| 5.8367        | 0.96  | 2600 | 5.7564          |
| 5.8266        | 0.99  | 2700 | 5.7432          |


### Framework versions

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