---
base_model: toobiza/MT-celestial-grass-58
tags:
- generated_from_trainer
model-index:
- name: MT-radiant-spaceship-60
  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. -->

# MT-radiant-spaceship-60

This model is a fine-tuned version of [toobiza/MT-celestial-grass-58](https://huggingface.co/toobiza/MT-celestial-grass-58) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6476
- Loss Ce: 0.0030
- Loss Bbox: 0.0949
- Cardinality Error: 1.0
- Giou: 91.4979

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Loss Ce | Loss Bbox | Cardinality Error | Giou    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:-----------------:|:-------:|
| 0.4929        | 0.6   | 50   | 0.7752          | 0.0038  | 0.1130    | 1.0               | 89.6877 |
| 0.4067        | 1.19  | 100  | 0.6803          | 0.0034  | 0.0994    | 1.0               | 91.0025 |
| 0.3416        | 1.79  | 150  | 0.6697          | 0.0032  | 0.0980    | 1.0               | 91.1694 |
| 0.3604        | 2.38  | 200  | 0.6478          | 0.0031  | 0.0949    | 1.0               | 91.4886 |
| 0.3774        | 2.98  | 250  | 0.6476          | 0.0030  | 0.0949    | 1.0               | 91.4979 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3