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MT-magic-puddle-87

Object Detection
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PyTorch
table-transformer
Generated from Trainer
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MT-magic-puddle-87

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  1. README.md +92 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ base_model: toobiza/table-transformer-stellar-vortex-81
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: MT-magic-puddle-87
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+ results: []
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+ ---
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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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+
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+ # MT-magic-puddle-87
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+
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+ This model is a fine-tuned version of [toobiza/table-transformer-stellar-vortex-81](https://huggingface.co/toobiza/table-transformer-stellar-vortex-81) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1979
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+ - Loss Ce: 0.0000
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+ - Loss Bbox: 0.0275
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+ - Cardinality Error: 1.0
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+ - Giou: 96.9810
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Loss Ce | Loss Bbox | Cardinality Error | Giou |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:-----------------:|:-------:|
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+ | 0.4142 | 0.12 | 50 | 0.2543 | 0.0000 | 0.0350 | 1.0 | 96.0232 |
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+ | 0.2876 | 0.24 | 100 | 0.2384 | 0.0000 | 0.0329 | 1.0 | 96.2958 |
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+ | 0.2522 | 0.36 | 150 | 0.2250 | 0.0000 | 0.0311 | 1.0 | 96.5247 |
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+ | 0.2324 | 0.48 | 200 | 0.2360 | 0.0000 | 0.0327 | 1.0 | 96.3714 |
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+ | 0.1855 | 0.6 | 250 | 0.2155 | 0.0000 | 0.0296 | 1.0 | 96.6185 |
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+ | 0.2339 | 0.72 | 300 | 0.2184 | 0.0000 | 0.0302 | 1.0 | 96.6205 |
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+ | 0.2416 | 0.85 | 350 | 0.2034 | 0.0000 | 0.0279 | 1.0 | 96.8059 |
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+ | 0.213 | 0.97 | 400 | 0.2072 | 0.0000 | 0.0286 | 1.0 | 96.7959 |
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+ | 0.2173 | 1.09 | 450 | 0.2089 | 0.0000 | 0.0287 | 1.0 | 96.7273 |
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+ | 0.2038 | 1.21 | 500 | 0.2239 | 0.0000 | 0.0311 | 1.0 | 96.5835 |
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+ | 0.1789 | 1.33 | 550 | 0.2235 | 0.0000 | 0.0312 | 1.0 | 96.6211 |
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+ | 0.159 | 1.45 | 600 | 0.2111 | 0.0000 | 0.0293 | 1.0 | 96.7661 |
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+ | 0.1629 | 1.57 | 650 | 0.2071 | 0.0000 | 0.0286 | 1.0 | 96.7952 |
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+ | 0.2541 | 1.69 | 700 | 0.2016 | 0.0000 | 0.0280 | 1.0 | 96.9076 |
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+ | 0.1917 | 1.81 | 750 | 0.2017 | 0.0000 | 0.0279 | 1.0 | 96.8974 |
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+ | 0.1642 | 1.93 | 800 | 0.2058 | 0.0000 | 0.0283 | 1.0 | 96.7995 |
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+ | 0.1598 | 2.05 | 850 | 0.1913 | 0.0000 | 0.0263 | 1.0 | 96.9992 |
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+ | 0.1551 | 2.17 | 900 | 0.1958 | 0.0000 | 0.0269 | 1.0 | 96.9452 |
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+ | 0.1698 | 2.29 | 950 | 0.2028 | 0.0000 | 0.0281 | 1.0 | 96.8889 |
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+ | 0.1414 | 2.42 | 1000 | 0.2063 | 0.0000 | 0.0287 | 1.0 | 96.8551 |
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+ | 0.1605 | 2.54 | 1050 | 0.1988 | 0.0000 | 0.0276 | 1.0 | 96.9509 |
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+ | 0.1929 | 2.66 | 1100 | 0.2085 | 0.0000 | 0.0290 | 1.0 | 96.8305 |
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+ | 0.1563 | 2.78 | 1150 | 0.2031 | 0.0000 | 0.0282 | 1.0 | 96.9069 |
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+ | 0.1263 | 2.9 | 1200 | 0.2004 | 0.0000 | 0.0278 | 1.0 | 96.9343 |
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+ | 0.1588 | 3.02 | 1250 | 0.2031 | 0.0000 | 0.0282 | 1.0 | 96.8919 |
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+ | 0.2023 | 3.14 | 1300 | 0.1986 | 0.0000 | 0.0276 | 1.0 | 96.9607 |
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+ | 0.1434 | 3.26 | 1350 | 0.1981 | 0.0000 | 0.0275 | 1.0 | 96.9762 |
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+ | 0.1436 | 3.38 | 1400 | 0.1995 | 0.0000 | 0.0278 | 1.0 | 96.9637 |
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+ | 0.1208 | 3.5 | 1450 | 0.1996 | 0.0000 | 0.0278 | 1.0 | 96.9668 |
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+ | 0.1371 | 3.62 | 1500 | 0.1993 | 0.0000 | 0.0277 | 1.0 | 96.9602 |
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+ | 0.1585 | 3.74 | 1550 | 0.1983 | 0.0000 | 0.0275 | 1.0 | 96.9670 |
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+ | 0.1356 | 3.86 | 1600 | 0.1980 | 0.0000 | 0.0275 | 1.0 | 96.9826 |
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+ | 0.1306 | 3.99 | 1650 | 0.1979 | 0.0000 | 0.0275 | 1.0 | 96.9810 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.13.3
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