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-122M-FlashAttention2
  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-122M-FlashAttention2

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: 3.3043

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.4854        | 0.06  | 100  | 5.4181          |
| 4.9365        | 0.12  | 200  | 4.6000          |
| 4.4045        | 0.18  | 300  | 4.2480          |
| 4.1233        | 0.24  | 400  | 4.0493          |
| 3.9441        | 0.29  | 500  | 3.9019          |
| 3.8179        | 0.35  | 600  | 3.7969          |
| 3.7142        | 0.41  | 700  | 3.7099          |
| 3.6299        | 0.47  | 800  | 3.6369          |
| 3.5446        | 0.53  | 900  | 3.5616          |
| 3.4792        | 0.59  | 1000 | 3.5006          |
| 3.4116        | 0.65  | 1100 | 3.4380          |
| 3.362         | 0.71  | 1200 | 3.3931          |
| 3.3219        | 0.77  | 1300 | 3.3552          |
| 3.2822        | 0.82  | 1400 | 3.3295          |
| 3.2567        | 0.88  | 1500 | 3.3126          |
| 3.2592        | 0.94  | 1600 | 3.3043          |


### Framework versions

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