README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - test_data_huggingface
metrics:
  - f1
model-index:
  - name: test_model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: test_data_huggingface
          type: test_data_huggingface
          config: default
          split: test
          args: default
        metrics:
          - name: F1
            type: f1
            value: 0.8808660461929578

test_model

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

• Loss: 0.6842
• F1: 0.8809

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: 0.0001
• train_batch_size: 32
• 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	F1
No log	1.0	47	1.0471	0.6157
No log	2.0	94	0.7371	0.6955
No log	3.0	141	0.6842	0.8809

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3