| base_model: VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - coco | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: IC_ver6trial_coco_swin_gpt2_50Apc_1e | |
| 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_ver6trial_coco_swin_gpt2_50Apc_1e | |
| This model is a fine-tuned version of [VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e](https://huggingface.co/VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e) on the coco dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.8113 | |
| - Cider: 43.6787 | |
| - Rouge1: 41.4057 | |
| - Rouge2: 16.177 | |
| - Rougel: 38.9636 | |
| - Rougelsum: 38.8335 | |
| - Bleu-1: 43.1153 | |
| - Bleu-2: 24.9997 | |
| - Bleu-3: 15.7558 | |
| - Bleu-4: 10.4674 | |
| - Gen Len: 11.1124 | |
| ## 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 | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |