---
license: mit
base_model: microsoft/kosmos-2-patch14-224
tags:
- generated_from_trainer
model-index:
- name: Kosmos-2-Furnas-trl-2
  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. -->

# Kosmos-2-Furnas-trl-2

This model is a fine-tuned version of [microsoft/kosmos-2-patch14-224](https://huggingface.co/microsoft/kosmos-2-patch14-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1544

## 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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.4556 | 100  | 0.2219          |
| No log        | 0.9112 | 200  | 0.1850          |
| 0.2591        | 1.3667 | 300  | 0.1805          |
| 0.2591        | 1.8223 | 400  | 0.1691          |
| 0.1604        | 2.2779 | 500  | 0.1702          |
| 0.1604        | 2.7335 | 600  | 0.1626          |
| 0.1604        | 3.1891 | 700  | 0.1625          |
| 0.109         | 3.6446 | 800  | 0.1600          |
| 0.109         | 4.1002 | 900  | 0.1537          |
| 0.0932        | 4.5558 | 1000 | 0.1544          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.16.1
- Tokenizers 0.19.1