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SwinV2_Syllable
Skyler215/SwinV2_Syllable
SwinV2_Syllable is a image-text-to-text model from Skyler215. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Nov 29, 2024
- Updated
- Nov 29, 2024
- SHA
- 9bd58b1b
Try a prompt
Model card
From the Hugging Face model README
<!-- 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. -->
SwinV2_Syllable
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1881
- Bleu-4: 0.2121
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu-4 |
|---|---|---|---|---|
| No log | 1.0 | 118 | 1.4441 | 0.1228 |
| No log | 2.0 | 236 | 1.3026 | 0.1406 |
| 2.0335 | 3.0 | 354 | 1.2238 | 0.1685 |
| 2.0335 | 4.0 | 472 | 1.1742 | 0.1841 |
| 2.0335 | 5.0 | 590 | 1.1522 | 0.1944 |
| 1.0795 | 6.0 | 708 | 1.1471 | 0.2103 |
| 1.0795 | 7.0 | 826 | 1.1434 | 0.2125 |
| 0.8075 | 8.0 | 944 | 1.1574 | 0.2108 |
| 0.8075 | 9.0 | 1062 | 1.1881 | 0.2121 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- Created
- Nov 29, 2024
- Updated
- Nov 29, 2024