---
base_model: SeaLLMs/SeaLLMs-v3-7B-Chat
library_name: peft
license: other
tags:
- generated_from_trainer
model-index:
- name: seallm-v3-4bit-qlora
  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. -->

# seallm-v3-4bit-qlora

This model is a fine-tuned version of [SeaLLMs/SeaLLMs-v3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3075

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4404        | 0.2036 | 50   | 1.4168          |
| 1.3317        | 0.4072 | 100  | 1.3570          |
| 1.3188        | 0.6108 | 150  | 1.3248          |
| 1.3048        | 0.8144 | 200  | 1.3075          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.20.0