---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TinyLlama/TinyLlama-1.1B-Chat-v0.6
model-index:
- name: shawgpt-ft
  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. -->

# shawgpt-ft

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v0.6](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0521

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6937        | 0.92  | 3    | 3.2909          |
| 3.6497        | 1.85  | 6    | 3.2640          |
| 3.6197        | 2.77  | 9    | 3.2310          |
| 2.6805        | 4.0   | 13   | 3.1818          |
| 3.5328        | 4.92  | 16   | 3.1453          |
| 3.48          | 5.85  | 19   | 3.1126          |
| 3.4458        | 6.77  | 22   | 3.0858          |
| 2.547         | 8.0   | 26   | 3.0614          |
| 3.3807        | 8.92  | 29   | 3.0531          |
| 2.2947        | 9.23  | 30   | 3.0521          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2