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swin-aragpt2-image-captioning-v3
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1743
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Meteor: 5.02
- Bleu1: 8.5611
- Bleu2: 2.9273
- Bleu3: 1.1796
- Bleu4: 0.4618
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: 1.5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Meteor | Bleu1 | Bleu2 | Bleu3 | Bleu4 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.5775 | 4.71 | 5000 | 1.2386 | 0.0 | 0.0 | 0.0 | 0.0 | 1.91 | 2.6908 | 1.0804 | 0.3964 | 0.1282 |
| 1.2446 | 9.42 | 10000 | 1.1985 | 0.0 | 0.0 | 0.0 | 0.0 | 5.09 | 8.4549 | 2.9556 | 1.2756 | 0.4817 |
| 1.1919 | 14.12 | 15000 | 1.1792 | 0.0 | 0.0 | 0.0 | 0.0 | 5.4 | 9.0722 | 2.9343 | 1.1887 | 0.4748 |
| 1.1669 | 18.83 | 20000 | 1.1743 | 0.0 | 0.0 | 0.0 | 0.0 | 5.02 | 8.5611 | 2.9273 | 1.1796 | 0.4618 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
