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IC_ver1_coco_swin_gpt2_5pc_2e
This model is a fine-tuned version of on the coco dataset. It achieves the following results on the evaluation set:
- Loss: 0.9700
- Rouge1: 36.317
- Rouge2: 12.0175
- Rougel: 33.7883
- Rougelsum: 33.7342
- Bleu: 6.5392
- 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
|---|---|---|---|---|---|---|---|---|---|
| 1.29 | 0.71 | 200 | 1.0273 | 33.6256 | 10.3076 | 31.0868 | 31.0562 | 5.5088 | 11.2887 |
| 1.0193 | 1.41 | 400 | 0.9700 | 36.317 | 12.0175 | 33.7883 | 33.7342 | 6.5392 | 11.2887 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
