my_awesome_model_concatenate_event_name_event_description_2

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: 0.8375
• Accuracy: 0.8627

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	13	1.0123	0.5098
No log	2.0	26	0.8941	0.7451
No log	3.0	39	0.8375	0.8627

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.0+cpu
• Datasets 2.16.0
• Tokenizers 0.13.2