---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-7
  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-7

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: 10.6539

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.0536        | 0.04  | 100  | 7.4802          |
| 6.8962        | 0.07  | 200  | 6.5875          |
| 6.3685        | 0.11  | 300  | 6.1149          |
| 5.8698        | 0.15  | 400  | 5.6208          |
| 5.6334        | 0.18  | 500  | 6.1096          |
| 8.8705        | 0.22  | 600  | 10.3915         |
| 10.5174       | 0.26  | 700  | 10.5752         |
| 10.5929       | 0.29  | 800  | 10.6066         |
| 10.6128       | 0.33  | 900  | 10.6187         |
| 10.6218       | 0.37  | 1000 | 10.6255         |
| 10.6274       | 0.4   | 1100 | 10.6302         |
| 10.6312       | 0.44  | 1200 | 10.6335         |
| 10.6343       | 0.48  | 1300 | 10.6363         |
| 10.6369       | 0.51  | 1400 | 10.6384         |
| 10.6391       | 0.55  | 1500 | 10.6404         |
| 10.6408       | 0.59  | 1600 | 10.6422         |
| 10.6426       | 0.62  | 1700 | 10.6438         |
| 10.6441       | 0.66  | 1800 | 10.6451         |
| 10.6454       | 0.7   | 1900 | 10.6464         |
| 10.6467       | 0.73  | 2000 | 10.6477         |
| 10.6479       | 0.77  | 2100 | 10.6486         |
| 10.649        | 0.81  | 2200 | 10.6496         |
| 10.6499       | 0.84  | 2300 | 10.6506         |
| 10.6508       | 0.88  | 2400 | 10.6515         |
| 10.6516       | 0.92  | 2500 | 10.6522         |
| 10.6524       | 0.95  | 2600 | 10.6531         |
| 10.6534       | 0.99  | 2700 | 10.6539         |


### Framework versions

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