---
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
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# 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