metadata
base_model: toobiza/MT-ancient-spaceship-83
tags:
- generated_from_trainer
model-index:
- name: margin-element-detector-fm-dutiful-morning-4
results: []
margin-element-detector-fm-dutiful-morning-4
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: 1.3630
- eval_loss_ce: 0.0000
- eval_loss_bbox: 0.0480
- eval_cardinality_error: 6.4700
- eval_giou: 43.8478
- eval_runtime: 7.9249
- eval_samples_per_second: 12.618
- eval_steps_per_second: 3.155
- epoch: 15.8
- step: 3950
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: 20
Framework versions
- Transformers 4.33.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3