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--- |
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license: mit |
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base_model: ShaneOD2611/table-transformer-detection_finetuned_CSGO |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: table-transformer-detection_finetuned_CSGO |
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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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# table-transformer-detection_finetuned_CSGO |
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This model is a fine-tuned version of [ShaneOD2611/table-transformer-detection_finetuned_CSGO](https://huggingface.co/ShaneOD2611/table-transformer-detection_finetuned_CSGO) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3249 |
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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: 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: linear |
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- num_epochs: 10 |
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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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| 1.9861 | 1.0 | 222 | 2.0718 | |
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| 1.6974 | 2.0 | 444 | 1.7959 | |
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| 1.4636 | 3.0 | 666 | 1.5956 | |
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| 1.4833 | 4.0 | 888 | 1.6272 | |
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| 1.4682 | 5.0 | 1110 | 1.5899 | |
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| 1.4169 | 6.0 | 1332 | 1.4784 | |
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| 1.2369 | 7.0 | 1554 | 1.4201 | |
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| 1.1632 | 8.0 | 1776 | 1.3718 | |
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| 1.1439 | 9.0 | 1998 | 1.3511 | |
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| 1.0676 | 10.0 | 2220 | 1.3249 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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