---
base_model: ucsahin/TraVisionLM-Object-Detection
tags:
- generated_from_trainer
model-index:
- name: TraVisionLM-Object-Detection-v2
  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. -->

# TraVisionLM-Object-Detection-v2

This model is a fine-tuned version of [ucsahin/TraVisionLM-Object-Detection](https://huggingface.co/ucsahin/TraVisionLM-Object-Detection) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2919

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3213        | 0.2406 | 570  | 2.3409          |
| 2.3129        | 0.4813 | 1140 | 2.3436          |
| 2.3128        | 0.7219 | 1710 | 2.3322          |
| 2.3082        | 0.9626 | 2280 | 2.3239          |
| 2.2853        | 1.2032 | 2850 | 2.3228          |
| 2.2826        | 1.4438 | 3420 | 2.3098          |
| 2.2707        | 1.6845 | 3990 | 2.3067          |
| 2.2706        | 1.9251 | 4560 | 2.3042          |
| 2.2465        | 2.1658 | 5130 | 2.3014          |
| 2.2435        | 2.4064 | 5700 | 2.2978          |
| 2.2433        | 2.6470 | 6270 | 2.2953          |
| 2.2344        | 2.8877 | 6840 | 2.2919          |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1