| base_model: toobiza/MT-celestial-grass-58 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: table-transformer-azure-dust-65 | |
| 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. --> | |
| # table-transformer-azure-dust-65 | |
| This model is a fine-tuned version of [toobiza/MT-celestial-grass-58](https://huggingface.co/toobiza/MT-celestial-grass-58) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.1439 | |
| - eval_loss_ce: 0.0014 | |
| - eval_loss_bbox: 0.0818 | |
| - eval_cardinality_error: 1.0 | |
| - eval_giou: 92.6646 | |
| - eval_runtime: 26.1327 | |
| - eval_samples_per_second: 3.061 | |
| - eval_steps_per_second: 1.531 | |
| - epoch: 4.17 | |
| - step: 350 | |
| ## 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: 5e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Framework versions | |
| - Transformers 4.33.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.5 | |
| - Tokenizers 0.13.3 | |