MT-radiant-spaceship-60

README.md

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+---
+base_model: toobiza/MT-celestial-grass-58
+tags:
+- generated_from_trainer
+model-index:
+- name: MT-radiant-spaceship-60
+  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-radiant-spaceship-60
+
+This model is a fine-tuned version of [toobiza/MT-celestial-grass-58](https://huggingface.co/toobiza/MT-celestial-grass-58) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6476
+- Loss Ce: 0.0030
+- Loss Bbox: 0.0949
+- Cardinality Error: 1.0
+- Giou: 91.4979
+
+## 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: 2
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:-----------------:|:-------:|
+| 0.4929        | 0.6   | 50   | 0.7752          | 0.0038  | 0.1130    | 1.0               | 89.6877 |
+| 0.4067        | 1.19  | 100  | 0.6803          | 0.0034  | 0.0994    | 1.0               | 91.0025 |
+| 0.3416        | 1.79  | 150  | 0.6697          | 0.0032  | 0.0980    | 1.0               | 91.1694 |
+| 0.3604        | 2.38  | 200  | 0.6478          | 0.0031  | 0.0949    | 1.0               | 91.4886 |
+| 0.3774        | 2.98  | 250  | 0.6476          | 0.0030  | 0.0949    | 1.0               | 91.4979 |
+
+
+### 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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