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Multimodal-Trajectory-Classifier
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
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# Load model directly from transformers import AutoTokenizer, DistilBertWithTabular tokenizer = AutoTokenizer.from_pretrained("alexamiredjibi/Multimodal-Trajectory-Classifier") model = DistilBertWithTabular.from_pretrained("alexamiredjibi/Multimodal-Trajectory-Classifier")