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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/detr-resnet-50 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: chickens |
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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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# chickens |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2124 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 23 | 0.9087 | |
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| 1.1031 | 2.0 | 46 | 0.8311 | |
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| 0.9027 | 3.0 | 69 | 0.6971 | |
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| 0.7561 | 4.0 | 92 | 0.5537 | |
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| 0.7561 | 5.0 | 115 | 0.4770 | |
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| 0.6238 | 6.0 | 138 | 0.4349 | |
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| 0.5385 | 7.0 | 161 | 0.3924 | |
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| 0.4759 | 8.0 | 184 | 0.3603 | |
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| 0.4759 | 9.0 | 207 | 0.3261 | |
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| 0.4367 | 10.0 | 230 | 0.3306 | |
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| 0.4199 | 11.0 | 253 | 0.3442 | |
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| 0.3988 | 12.0 | 276 | 0.2995 | |
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| 0.3988 | 13.0 | 299 | 0.3219 | |
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| 0.3887 | 14.0 | 322 | 0.2768 | |
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| 0.3808 | 15.0 | 345 | 0.2574 | |
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| 0.3673 | 16.0 | 368 | 0.2715 | |
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| 0.3354 | 17.0 | 391 | 0.3126 | |
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| 0.3354 | 18.0 | 414 | 0.2536 | |
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| 0.3347 | 19.0 | 437 | 0.2362 | |
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| 0.3287 | 20.0 | 460 | 0.2539 | |
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| 0.3325 | 21.0 | 483 | 0.2341 | |
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| 0.3325 | 22.0 | 506 | 0.2173 | |
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| 0.3196 | 23.0 | 529 | 0.2180 | |
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| 0.3091 | 24.0 | 552 | 0.2166 | |
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| 0.3111 | 25.0 | 575 | 0.2264 | |
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| 0.3111 | 26.0 | 598 | 0.2070 | |
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| 0.2983 | 27.0 | 621 | 0.2177 | |
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| 0.2946 | 28.0 | 644 | 0.2080 | |
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| 0.3068 | 29.0 | 667 | 0.2113 | |
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| 0.2933 | 30.0 | 690 | 0.2124 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.14.4 |
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- Tokenizers 0.19.1 |
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