MT-trim-waterfall-62
This model is a fine-tuned version of toobiza/MT-celestial-grass-58 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4224
- eval_loss_ce: 0.0009
- eval_loss_bbox: 0.0611
- eval_cardinality_error: 1.0
- eval_giou: 94.1875
- eval_runtime: 29.9818
- eval_samples_per_second: 2.668
- eval_steps_per_second: 1.334
- epoch: 5.36
- step: 450
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: 5e-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: 10
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3