README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - f1
  - accuracy
model-index:
  - name: ber3
    results: []

ber3

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0476
• F1: 0.0
• Roc Auc: 0.5
• Accuracy: 0.0
• F1-macro: 0.0
• Precision-micro: 0.0
• Precision-macro: 0.0
• Recall-micro: 0.0
• Recall-macro: 0.0

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy	F1-macro	Precision-micro	Precision-macro	Recall-micro	Recall-macro
No log	1.0	121	0.2031	0.0046	0.5116	0.0	0.0006	0.0023	0.0003	0.1458	0.0611
No log	2.0	242	0.0893	0.0	0.5	0.0	0.0	0.0	0.0	0.0	0.0
No log	3.0	363	0.0609	0.0	0.5	0.0	0.0	0.0	0.0	0.0	0.0
No log	4.0	484	0.0505	0.0	0.5	0.0	0.0	0.0	0.0	0.0	0.0
0.1695	5.0	605	0.0476	0.0	0.5	0.0	0.0	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2