---
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-6
  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-6

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: 5.4087

## 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: 4.8e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.8677        | 0.04  | 100  | 9.1385          |
| 8.4868        | 0.07  | 200  | 7.7575          |
| 7.2146        | 0.11  | 300  | 6.8688          |
| 6.6972        | 0.14  | 400  | 6.5702          |
| 6.4628        | 0.18  | 500  | 6.3746          |
| 6.3058        | 0.22  | 600  | 6.2362          |
| 6.1813        | 0.25  | 700  | 6.1241          |
| 6.0708        | 0.29  | 800  | 6.0228          |
| 5.963         | 0.33  | 900  | 5.9109          |
| 5.8577        | 0.36  | 1000 | 5.7948          |
| 5.7614        | 0.4   | 1100 | 5.7155          |
| 5.6876        | 0.43  | 1200 | 5.6376          |
| 5.6044        | 0.47  | 1300 | 5.5631          |
| 5.5538        | 0.51  | 1400 | 5.5045          |
| 5.5007        | 0.54  | 1500 | 5.4649          |
| 5.4556        | 0.58  | 1600 | 5.4282          |
| 5.4246        | 0.62  | 1700 | 5.3917          |
| 5.3982        | 0.65  | 1800 | 5.3762          |
| 5.3854        | 0.69  | 1900 | 5.3546          |
| 5.365         | 0.72  | 2000 | 5.3447          |
| 5.3579        | 0.76  | 2100 | 5.3473          |
| 5.3552        | 0.8   | 2200 | 5.3463          |
| 5.3682        | 0.83  | 2300 | 5.3630          |
| 5.3743        | 0.87  | 2400 | 5.3718          |
| 5.3957        | 0.91  | 2500 | 5.3887          |
| 5.4079        | 0.94  | 2600 | 5.4010          |
| 5.423         | 0.98  | 2700 | 5.4087          |


### Framework versions

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