Add evaluation results on the default config and test split of banking77

c7f5967 over 2 years ago

5.7 kB

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - banking77
metrics:
  - f1
model-index:
  - name: bert-base-banking77-pt2
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: banking77
          type: banking77
          config: default
          split: test
          args: default
        metrics:
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            value: 0.9317233921464609
            name: F1
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            name: Accuracy
            verified: true
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            name: F1 Macro
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            name: F1 Micro
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            name: F1 Weighted
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          - type: precision
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bert-base-banking77-pt2

This model is a fine-tuned version of bert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:

Loss: 0.2995
F1: 0.9317

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.0666	1.0	626	0.7760	0.8472
0.3748	2.0	1252	0.3521	0.9264
0.1853	3.0	1878	0.2995	0.9317

Framework versions

Transformers 4.27.0.dev0
Pytorch 2.0.0.dev20230213+cu117
Datasets 2.9.0
Tokenizers 0.13.2