---
license: cc-by-nc-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: MBZUAI/LaMini-GPT-774M
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 [MBZUAI/LaMini-GPT-774M](https://huggingface.co/MBZUAI/LaMini-GPT-774M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4635

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5991        | 1.0   | 5    | 3.4306          |
| 3.3522        | 2.0   | 10   | 3.0302          |
| 2.9388        | 3.0   | 15   | 2.6452          |
| 2.621         | 4.0   | 20   | 2.3555          |
| 2.3501        | 5.0   | 25   | 2.1047          |
| 2.1243        | 6.0   | 30   | 1.8846          |
| 1.9309        | 7.0   | 35   | 1.6957          |
| 1.7786        | 8.0   | 40   | 1.5726          |
| 1.6718        | 9.0   | 45   | 1.4961          |
| 1.6283        | 10.0  | 50   | 1.4635          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2