Daniel Bogdoll commited on
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README.md
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---
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library_name: transformers
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base_model: jozhang97/deta-swin-large-o365
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tags:
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: fisheye8k_jozhang97_deta-swin-large-o365
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# fisheye8k_jozhang97_deta-swin-large-o365
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This model is a fine-tuned version of [jozhang97/deta-swin-large-o365](https://huggingface.co/jozhang97/deta-swin-large-o365) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0247
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 0
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 36
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.3933 | 1.0 | 5288 | 1.6177 |
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| 1.098 | 2.0 | 10576 | 1.2979 |
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| 0.9565 | 3.0 | 15864 | 1.2650 |
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| 0.8734 | 4.0 | 21152 | 1.2495 |
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| 0.8196 | 5.0 | 26440 | 1.1328 |
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| 0.7977 | 6.0 | 31728 | 1.3190 |
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| 0.8448 | 7.0 | 37016 | 1.3999 |
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| 0.7399 | 8.0 | 42304 | 1.3117 |
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| 0.6325 | 9.0 | 47592 | 1.1202 |
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| 0.621 | 10.0 | 52880 | 1.1707 |
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| 0.7134 | 11.0 | 58168 | 1.2353 |
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| 0.6425 | 12.0 | 63456 | 1.0416 |
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| 0.5935 | 13.0 | 68744 | 0.9215 |
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| 0.5798 | 14.0 | 74032 | 1.0827 |
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| 0.5924 | 15.0 | 79320 | 1.0398 |
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| 0.5559 | 16.0 | 84608 | 1.0112 |
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| 0.5783 | 17.0 | 89896 | 1.0434 |
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| 0.5536 | 18.0 | 95184 | 1.0247 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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runs/Feb15_11-10-29_mcity-rtx-4090/events.out.tfevents.1739635830.mcity-rtx-4090.1139582.19
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:83012ce80427d90536b2d7b5e38616d621845c29fc8a6077bf4451a76c7a3ab5
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size 52939
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