metadata

base_model: toobiza/MT-ancient-spaceship-83
tags:
  - generated_from_trainer
model-index:
  - name: margin-element-detector-fm-clean-oath-16
    results: []

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

This model is a fine-tuned version of 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