---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T
tags:
- generated_from_trainer
model-index:
- name: storage/tiny
  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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# storage/tiny

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0598

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9849        | 0.03  | 1    | 2.0811          |
| 1.3107        | 0.17  | 5    | 1.1992          |
| 0.6399        | 0.34  | 10   | 0.6359          |
| 0.2779        | 0.51  | 15   | 0.2862          |
| 0.1807        | 0.68  | 20   | 0.1634          |
| 0.1256        | 0.85  | 25   | 0.1177          |
| 0.097         | 1.0   | 30   | 0.0891          |
| 0.1063        | 1.17  | 35   | 0.0734          |
| 0.0769        | 1.34  | 40   | 0.0723          |
| 0.0694        | 1.51  | 45   | 0.0633          |
| 0.0687        | 1.69  | 50   | 0.0624          |
| 0.0575        | 1.86  | 55   | 0.0622          |
| 0.0516        | 2.01  | 60   | 0.0609          |
| 0.0582        | 2.18  | 65   | 0.0603          |
| 0.0611        | 2.35  | 70   | 0.0600          |
| 0.0515        | 2.52  | 75   | 0.0598          |
| 0.0704        | 2.69  | 80   | 0.0598          |
| 0.0525        | 2.86  | 85   | 0.0598          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0