MT-lively-blaze-90
This model is a fine-tuned version of toobiza/MT-magic-puddle-87 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1930
- eval_loss_ce: 0.0000
- eval_loss_bbox: 0.0269
- eval_cardinality_error: 1.0
- eval_giou: 97.0766
- eval_runtime: 118.1891
- eval_samples_per_second: 2.268
- eval_steps_per_second: 0.567
- epoch: 0.97
- step: 400
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.33.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3
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