---
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-8
  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-8

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: 4.5927

## 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: 0.00024
- 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: 250
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.4805        | 0.04  | 100  | 8.6095          |
| 7.8321        | 0.07  | 200  | 7.0695          |
| 6.8097        | 0.11  | 300  | 6.5242          |
| 6.1628        | 0.15  | 400  | 5.9676          |
| 5.7241        | 0.18  | 500  | 5.5946          |
| 5.5282        | 0.22  | 600  | 5.4358          |
| 5.5317        | 0.26  | 700  | 5.3903          |
| 5.399         | 0.29  | 800  | 5.3153          |
| 5.2444        | 0.33  | 900  | 5.1738          |
| 5.1217        | 0.37  | 1000 | 5.0826          |
| 5.0392        | 0.4   | 1100 | 5.0498          |
| 5.0022        | 0.44  | 1200 | 4.9668          |
| 4.9574        | 0.48  | 1300 | 4.9327          |
| 4.8924        | 0.51  | 1400 | 4.8715          |
| 4.8545        | 0.55  | 1500 | 4.8475          |
| 4.8104        | 0.58  | 1600 | 4.8027          |
| 4.7834        | 0.62  | 1700 | 4.7821          |
| 4.7563        | 0.66  | 1800 | 4.7486          |
| 4.7112        | 0.69  | 1900 | 4.7241          |
| 4.701         | 0.73  | 2000 | 4.7091          |
| 4.678         | 0.77  | 2100 | 4.6785          |
| 4.6376        | 0.8   | 2200 | 4.6615          |
| 4.6264        | 0.84  | 2300 | 4.6454          |
| 4.6032        | 0.88  | 2400 | 4.6245          |
| 4.5949        | 0.91  | 2500 | 4.6137          |
| 4.5861        | 0.95  | 2600 | 4.5992          |
| 4.5783        | 0.99  | 2700 | 4.5927          |


### Framework versions

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