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Spatial – AI Model by adisrini11 | AlphaNeural AI
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adisrini11
/
Spatial
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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Spatial
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1699
Accuracy: 0.9383
Model description
More information needed
Intended uses & limitations
Given the description of an accident the model will predict the severity of the traffic block.
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2243
1.0
1863
0.1831
0.9355
0.196
2.0
3726
0.1699
0.9383
Framework versions
Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.11.0
