Daniel Bogdoll
commited on
End of training
Browse files
README.md
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---
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library_name: transformers
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base_model: jozhang97/deta-swin-large
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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
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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
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This model is a fine-tuned version of [jozhang97/deta-swin-large](https://huggingface.co/jozhang97/deta-swin-large) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 17.9701
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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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| 13.7551 | 1.0 | 5288 | 17.5573 |
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| 12.6537 | 2.0 | 10576 | 17.4879 |
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| 12.023 | 3.0 | 15864 | 17.6520 |
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| 11.4167 | 4.0 | 21152 | 18.5138 |
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| 10.8161 | 5.0 | 26440 | 17.7264 |
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| 10.5346 | 6.0 | 31728 | 17.9145 |
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| 10.1203 | 7.0 | 37016 | 17.9701 |
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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_07-46-46_mcity-rtx-4090/events.out.tfevents.1739623607.mcity-rtx-4090.1139582.17
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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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size 24937
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