MT-ancient-spaceship-83

README.md

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+---
+base_model: toobiza/table-transformer-stellar-vortex-81
+tags:
+- generated_from_trainer
+model-index:
+- name: MT-ancient-spaceship-83
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# MT-ancient-spaceship-83
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.1689
+- Loss Ce: 0.0000
+- Loss Bbox: 0.0233
+- Cardinality Error: 1.0
+- Giou: 97.5276
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Loss Ce | Loss Bbox | Cardinality Error | Giou    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:-----------------:|:-------:|
+| 0.2656        | 0.35  | 50   | 0.1849          | 0.0000  | 0.0252    | 1.0               | 97.2490 |
+| 0.2505        | 0.69  | 100  | 0.1683          | 0.0000  | 0.0231    | 1.0               | 97.4814 |
+| 0.1746        | 1.04  | 150  | 0.1701          | 0.0000  | 0.0235    | 1.0               | 97.4533 |
+| 0.1786        | 1.39  | 200  | 0.1864          | 0.0000  | 0.0259    | 1.0               | 97.2923 |
+| 0.1148        | 1.74  | 250  | 0.1786          | 0.0000  | 0.0246    | 1.0               | 97.4046 |
+| 0.234         | 2.08  | 300  | 0.1673          | 0.0000  | 0.0230    | 1.0               | 97.5302 |
+| 0.1654        | 2.43  | 350  | 0.1710          | 0.0000  | 0.0235    | 1.0               | 97.4826 |
+| 0.1094        | 2.78  | 400  | 0.1689          | 0.0000  | 0.0233    | 1.0               | 97.5276 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

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