| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - coco | |
| metrics: | |
| - rouge | |
| - bleu | |
| model-index: | |
| - name: IC_ver3a_coco_swin_gpt2_ | |
| 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. --> | |
| # IC_ver3a_coco_swin_gpt2_ | |
| This model is a fine-tuned version of [](https://huggingface.co/) on the coco dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0156 | |
| - Rouge1: 33.8659 | |
| - Rouge2: 10.1039 | |
| - Rougel: 31.4861 | |
| - Rougelsum: 31.4905 | |
| - Bleu: 5.7396 | |
| - Gen Len: 11.2887 | |
| ## 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: 96 | |
| - eval_batch_size: 96 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:-------:| | |
| | 1.4761 | 0.34 | 100 | 1.1047 | 28.2757 | 6.0267 | 26.4732 | 26.5071 | 2.7859 | 11.2887 | | |
| | 1.1238 | 0.68 | 200 | 1.0406 | 32.0448 | 8.6347 | 29.6117 | 29.6193 | 4.4174 | 11.2887 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |