---
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T
tags:
- generated_from_trainer
model-index:
- name: out_fft
  results: []
---

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[<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)
# out_fft

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: 0.8797

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0547        | 0.0   | 1    | 2.0329          |
| 1.9388        | 0.25  | 3087 | 1.0713          |
| 1.4746        | 0.5   | 6174 | 0.9426          |
| 1.1822        | 0.75  | 9261 | 0.8797          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0