---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openthaigpt/openthaigpt-1.0.0-7b-chat
model-index:
- name: tian-ft4bit
  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. -->

# tian-ft4bit

This model is a fine-tuned version of [openthaigpt/openthaigpt-1.0.0-7b-chat](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-7b-chat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2898

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.8288        | 0.9524 | 10   | 1.1157          |
| 0.7351        | 2.0    | 21   | 0.3817          |
| 0.3298        | 2.9524 | 31   | 0.2716          |
| 0.1567        | 4.0    | 42   | 0.2654          |
| 0.091         | 4.9524 | 52   | 0.2830          |
| 0.0572        | 6.0    | 63   | 0.2835          |
| 0.0542        | 6.9524 | 73   | 0.2912          |
| 0.0448        | 8.0    | 84   | 0.2886          |
| 0.0464        | 8.9524 | 94   | 0.2890          |
| 0.0389        | 9.5238 | 100  | 0.2898          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1