---
base_model: openbmb/MiniCPM-V-2_6
tags:
- generated_from_trainer
model-index:
- name: MiniCPM-V-2_6_ft_20240908_220534
  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. -->

# MiniCPM-V-2_6_ft_20240908_220534

This model is a fine-tuned version of [openbmb/MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1097

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.3731 | 50   | 0.1153          |
| No log        | 0.7463 | 100  | 0.1103          |
| 0.1504        | 1.1194 | 150  | 0.1150          |
| 0.1504        | 1.4925 | 200  | 0.1097          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Tokenizers 0.19.1