---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: vilm/vinallama-7b-chat
model-index:
- name: experiments
  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. -->

# experiments

This model is a fine-tuned version of [vilm/vinallama-7b-chat](https://huggingface.co./vilm/vinallama-7b-chat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2875

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2219        | 1.0   | 1    | 0.2899          |
| 0.0755        | 1.33  | 2    | 0.2873          |
| 0.1392        | 2.0   | 3    | 0.2835          |
| 0.0996        | 2.67  | 4    | 0.2866          |
| 0.0553        | 3.0   | 5    | 0.2875          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.36.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2