<!-- 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_ver6P_coco_swin_gpt2_50B_1e
This model is a fine-tuned version of VK246/IC_ver6O_coco_swin_gpt2_50A_1e on the coco dataset. It achieves the following results on the evaluation set:
- Loss: 0.9083
- Cider: 71.9821
- Rouge1: 40.8231
- Rouge2: 15.3858
- Rougel: 36.9192
- Rougelsum: 36.9129
- Bleu-1: 42.0506
- Bleu-2: 23.8307
- Bleu-3: 14.8432
- Bleu-4: 9.7337
- Gen Len: 11.3063
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 | Cider | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3172 | 0.34 | 1000 | 1.0778 | 66.318 | 39.4397 | 14.0713 | 35.6057 | 35.6047 | 40.7003 | 22.4525 | 13.6705 | 8.7851 | 11.3063 |
| 0.4589 | 0.68 | 2000 | 0.9083 | 71.9821 | 40.8231 | 15.3858 | 36.9192 | 36.9129 | 42.0506 | 23.8307 | 14.8432 | 9.7337 | 11.3063 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
