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# TinyIG

This model is a pre-trained version of LLama2  on the [nampdn-ai/tiny-textbooks](https://huggingface.co/datasets/nampdn-ai/tiny-textbooks) dataset.

Inspired by [TinyStories](https://arxiv.org/abs/2305.07759).

It achieves the following results on the evaluation set:
- Loss: 3.5677

## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4647        | 2.02  | 30000 | 3.5677          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"language": ["en"], "tags": ["generated_from_trainer"], "datasets": ["nampdn-ai/tiny-textbooks"], "pipeline_tag": "text-generation", "model-index": [{"name": "TinyIG", "results": []}]}
transformers safetensors llama text-generation generated_from_trainer en dataset:nampdn-ai/tiny-textbooks arxiv:2305.07759 autotrain_compatible endpoints_compatible text-generation-inference region:us