---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openthaigpt/openthaigpt-1.0.0-7b-chat
model-index:
- name: tian-ft8bit
  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-ft8bit

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: 0.3650

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.6818        | 0.9362 | 11   | 1.2394          |
| 0.7417        | 1.9574 | 23   | 0.4204          |
| 0.3016        | 2.9787 | 35   | 0.3303          |
| 0.1401        | 4.0    | 47   | 0.3590          |
| 0.0825        | 4.9362 | 58   | 0.3573          |
| 0.0601        | 5.9574 | 70   | 0.3517          |
| 0.0515        | 6.9787 | 82   | 0.3590          |
| 0.0483        | 8.0    | 94   | 0.3617          |
| 0.05          | 8.9362 | 105  | 0.3620          |
| 0.0393        | 9.3617 | 110  | 0.3650          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1