metadata
base_model: ucsahin/TraVisionLM-Object-Detection
tags:
- generated_from_trainer
model-index:
- name: TraVisionLM-Object-Detection-v2
results: []
license: apache-2.0
datasets:
- ucsahin/COCO-OD-TR-Single-Objects-v2
language:
- tr
library_name: transformers
pipeline_tag: image-text-to-text
TraVisionLM-Object-Detection-v2
This model is a fine-tuned version of ucsahin/TraVisionLM-base on the ucsahin/COCO-OD-TR-Single-Objects-v2 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