---
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-2
  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-2

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: 10.6538

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.1311        | 0.04  | 100  | 7.5382          |
| 6.9064        | 0.07  | 200  | 6.6416          |
| 6.3625        | 0.11  | 300  | 6.1490          |
| 5.8774        | 0.15  | 400  | 5.6766          |
| 5.6517        | 0.18  | 500  | 6.1719          |
| 8.8804        | 0.22  | 600  | 10.4020         |
| 10.5191       | 0.26  | 700  | 10.5768         |
| 10.5934       | 0.29  | 800  | 10.6068         |
| 10.613        | 0.33  | 900  | 10.6190         |
| 10.622        | 0.37  | 1000 | 10.6256         |
| 10.6276       | 0.41  | 1100 | 10.6300         |
| 10.6315       | 0.44  | 1200 | 10.6332         |
| 10.6343       | 0.48  | 1300 | 10.6361         |
| 10.6368       | 0.52  | 1400 | 10.6383         |
| 10.6389       | 0.55  | 1500 | 10.6402         |
| 10.6408       | 0.59  | 1600 | 10.6419         |
| 10.6424       | 0.63  | 1700 | 10.6434         |
| 10.6439       | 0.66  | 1800 | 10.6447         |
| 10.6453       | 0.7   | 1900 | 10.6460         |
| 10.6465       | 0.74  | 2000 | 10.6473         |
| 10.6476       | 0.77  | 2100 | 10.6483         |
| 10.6487       | 0.81  | 2200 | 10.6494         |
| 10.6497       | 0.85  | 2300 | 10.6503         |
| 10.6505       | 0.88  | 2400 | 10.6511         |
| 10.6514       | 0.92  | 2500 | 10.6521         |
| 10.6521       | 0.96  | 2600 | 10.6527         |
| 10.6532       | 0.99  | 2700 | 10.6538         |


### Framework versions

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