margin-element-detector-fm-clean-oath-16

README.md

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+---
+base_model: toobiza/MT-ancient-spaceship-83
+tags:
+- generated_from_trainer
+model-index:
+- name: margin-element-detector-fm-clean-oath-16
+  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. -->
+
+# margin-element-detector-fm-clean-oath-16
+
+This model is a fine-tuned version of [toobiza/MT-ancient-spaceship-83](https://huggingface.co/toobiza/MT-ancient-spaceship-83) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.9676
+- eval_loss_ce: 0.0858
+- eval_loss_bbox: 0.0424
+- eval_cardinality_error: 0.3683
+- eval_giou: 66.5256
+- eval_runtime: 47.1617
+- eval_samples_per_second: 18.977
+- eval_steps_per_second: 4.75
+- epoch: 7.53
+- step: 17000
+
+## 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: 0.0001
+- 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: 40
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.13.3

pytorch_model.bin

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