transformers safetensors llama text-generation generated_from_trainer base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- generated_from_trainer
model-index:
- name: TinyLlama2-jp
  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. -->

# TinyLlama2-jp

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: 3.2892

## 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: 0.0005
- train_batch_size: 156
- eval_batch_size: 156
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.4756        | 0.06  | 100  | 5.4296          |
| 4.936         | 0.12  | 200  | 4.5938          |
| 4.3958        | 0.18  | 300  | 4.2302          |
| 4.1193        | 0.24  | 400  | 4.0358          |
| 3.9439        | 0.3   | 500  | 3.8978          |
| 3.8234        | 0.36  | 600  | 3.7824          |
| 3.714         | 0.41  | 700  | 3.6923          |
| 3.6277        | 0.47  | 800  | 3.6110          |
| 3.5376        | 0.53  | 900  | 3.5401          |
| 3.4791        | 0.59  | 1000 | 3.4743          |
| 3.4058        | 0.65  | 1100 | 3.4219          |
| 3.3582        | 0.71  | 1200 | 3.3737          |
| 3.3272        | 0.77  | 1300 | 3.3387          |
| 3.2892        | 0.83  | 1400 | 3.3123          |
| 3.2655        | 0.89  | 1500 | 3.2962          |
| 3.2511        | 0.95  | 1600 | 3.2892          |


### Framework versions

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