---
base_model: llava-hf/llava-1.5-7b-hf
library_name: peft
license: llama2
tags:
- generated_from_trainer
model-index:
- name: RSI-LLAVA-64LORA-3EPOCHS
  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. -->

# RSI-LLAVA-64LORA-3EPOCHS

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: 0.8138

## 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: 0.00025
- train_batch_size: 4
- eval_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.269         | 0.1546 | 25   | 1.1089          |
| 0.9311        | 0.3091 | 50   | 0.9328          |
| 0.9195        | 0.4637 | 75   | 0.8907          |
| 0.8603        | 0.6182 | 100  | 0.8647          |
| 0.8347        | 0.7728 | 125  | 0.8590          |
| 0.8272        | 0.9274 | 150  | 0.8398          |
| 0.8098        | 1.0819 | 175  | 0.8437          |
| 0.7734        | 1.2365 | 200  | 0.8274          |
| 0.7265        | 1.3910 | 225  | 0.8215          |
| 0.7579        | 1.5456 | 250  | 0.8178          |
| 0.7563        | 1.7002 | 275  | 0.8125          |
| 0.7343        | 1.8547 | 300  | 0.8032          |
| 0.725         | 2.0093 | 325  | 0.8070          |
| 0.653         | 2.1638 | 350  | 0.8126          |
| 0.6451        | 2.3184 | 375  | 0.8152          |
| 0.6623        | 2.4730 | 400  | 0.8156          |
| 0.6592        | 2.6275 | 425  | 0.8157          |
| 0.6711        | 2.7821 | 450  | 0.8148          |
| 0.6376        | 2.9366 | 475  | 0.8138          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1