---
base_model: toobiza/MT-ancient-spaceship-83
tags:
- generated_from_trainer
model-index:
- name: margin-element-detector-fm-prime-totem-15
  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-prime-totem-15

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: 1.7595
- eval_loss_ce: 0.4003
- eval_loss_bbox: 0.0693
- eval_cardinality_error: 2.2391
- eval_giou: 49.3523
- eval_runtime: 3.9747
- eval_samples_per_second: 23.146
- eval_steps_per_second: 5.787
- epoch: 1.32
- step: 300

## 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: 10

### Framework versions

- Transformers 4.33.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3