---
base_model: llava-hf/llava-1.5-7b-hf
library_name: peft
license: llama2
metrics:
- bleu
- rouge
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: test
  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. -->

# test

This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7232
- Bleu: 0.0387
- Rouge1: 0.2677
- Rouge2: 0.0882
- Rougel: 0.2007
- Bertscore Precision: 0.6978
- Bertscore Recall: 0.7745
- Bertscore F1: 0.7341

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu   | Rouge1 | Rouge2 | Rougel | Bertscore Precision | Bertscore Recall | Bertscore F1 |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:------:|:-------------------:|:----------------:|:------------:|
| No log        | 0.0495 | 1    | 2.7394          | 0.0387 | 0.2665 | 0.0883 | 0.1998 | 0.6979              | 0.7743           | 0.7340       |
| No log        | 0.0991 | 2    | 2.7232          | 0.0387 | 0.2677 | 0.0882 | 0.2007 | 0.6978              | 0.7745           | 0.7341       |


### Framework versions

- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.20.0
- Tokenizers 0.19.1