---
license: mit
base_model: microsoft/kosmos-2-patch14-224
tags:
- generated_from_trainer
model-index:
- name: kosm-checkpoint
  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. -->

# kosm-checkpoint

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: 0.0458

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0497 | 200  | 0.1075          |
| 1.077         | 0.0993 | 400  | 0.0816          |
| 0.0909        | 0.1490 | 600  | 0.0634          |
| 0.0731        | 0.1986 | 800  | 0.0531          |
| 0.0626        | 0.2483 | 1000 | 0.0482          |
| 0.0626        | 0.2979 | 1200 | 0.0458          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1