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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- beyond_words_23 |
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base_model: facebook/detr-resnet-50 |
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model-index: |
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- name: detr-resnet-50_find_tuned_beyond_words |
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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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# detr-resnet-50_find_tuned_beyond_words |
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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 beyond_words_23 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9310 |
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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: 0.0001 |
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- train_batch_size: 16 |
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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: linear |
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- num_epochs: 200 |
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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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| 2.7439 | 0.56 | 100 | 2.2690 | |
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| 1.7644 | 1.12 | 200 | 1.5053 | |
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| 1.557 | 1.69 | 300 | 1.3136 | |
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| 1.3207 | 2.25 | 400 | 1.2063 | |
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| 1.3705 | 2.81 | 500 | 1.2007 | |
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| 1.1924 | 3.37 | 600 | 1.2704 | |
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| 1.2604 | 3.93 | 700 | 1.1784 | |
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| 1.1982 | 4.49 | 800 | 1.1167 | |
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| 1.1912 | 5.06 | 900 | 1.1562 | |
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| 1.1206 | 5.62 | 1000 | 1.2124 | |
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| 1.1344 | 6.18 | 1100 | 1.0622 | |
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| 1.1388 | 6.74 | 1200 | 1.0425 | |
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| 1.0124 | 7.3 | 1300 | 0.9908 | |
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| 1.0776 | 7.87 | 1400 | 1.1182 | |
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| 0.9614 | 8.43 | 1500 | 0.9967 | |
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| 1.0136 | 8.99 | 1600 | 0.8933 | |
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| 1.0206 | 9.55 | 1700 | 0.9354 | |
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| 0.9529 | 10.11 | 1800 | 0.9751 | |
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| 1.0126 | 10.67 | 1900 | 0.9310 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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