---
library_name: transformers
license: other
base_model: llava-hf/llava-v1.6-mistral-7b-hf
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: Compcap_cosi_0_50
  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. -->

# Compcap_cosi_0_50

This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the Compcap_cosi_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8178

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9375        | 0.2706 | 50   | 0.9355          |
| 0.8824        | 0.5413 | 100  | 0.8776          |
| 0.8549        | 0.8119 | 150  | 0.8518          |
| 0.7825        | 1.0825 | 200  | 0.8398          |
| 0.759         | 1.3532 | 250  | 0.8301          |
| 0.7676        | 1.6238 | 300  | 0.8219          |
| 0.7624        | 1.8945 | 350  | 0.8160          |
| 0.6976        | 2.1651 | 400  | 0.8193          |
| 0.7004        | 2.4357 | 450  | 0.8186          |
| 0.7133        | 2.7064 | 500  | 0.8176          |
| 0.7           | 2.9770 | 550  | 0.8178          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3