metadata
license: mit
base_model: ShaneOD2611/table-transformer-detection_finetuned_CSGO
tags:
- generated_from_trainer
model-index:
- name: table-transformer-detection_finetuned_CSGO
results: []
table-transformer-detection_finetuned_CSGO
This model is a fine-tuned version of ShaneOD2611/table-transformer-detection_finetuned_CSGO on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3249
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9861 | 1.0 | 222 | 2.0718 |
| 1.6974 | 2.0 | 444 | 1.7959 |
| 1.4636 | 3.0 | 666 | 1.5956 |
| 1.4833 | 4.0 | 888 | 1.6272 |
| 1.4682 | 5.0 | 1110 | 1.5899 |
| 1.4169 | 6.0 | 1332 | 1.4784 |
| 1.2369 | 7.0 | 1554 | 1.4201 |
| 1.1632 | 8.0 | 1776 | 1.3718 |
| 1.1439 | 9.0 | 1998 | 1.3511 |
| 1.0676 | 10.0 | 2220 | 1.3249 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2