my_awesome_model

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4723
• Accuracy: {'accuracy': 0.5292066259808196}
• Precision: {'precision': 0.5270248196529665}
• Recall: {'recall': 0.5128581630410899}
• F1: {'f1': 0.4836938691814141}

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
2.3362	1.0	1390	1.8634	{'accuracy': 0.4119442022667829}	{'precision': 0.3707812573639524}	{'recall': 0.39448170731707316}	{'f1': 0.33817627082664936}
1.5346	2.0	2780	1.4723	{'accuracy': 0.5292066259808196}	{'precision': 0.5270248196529665}	{'recall': 0.5128581630410899}	{'f1': 0.4836938691814141}

Framework versions

• Transformers 4.41.1
• Pytorch 2.1.2
• Datasets 2.2.1
• Tokenizers 0.19.1