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---
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:
- type: f1
value: 0.9311734343722707
name: F1
- type: accuracy
value: 0.9308441558441558
name: Accuracy
verified: true
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- type: f1
value: 0.9308950029410715
name: F1 Macro
verified: true
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- type: f1
value: 0.9308441558441558
name: F1 Micro
verified: true
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- type: f1
value: 0.9308950029410716
name: F1 Weighted
verified: true
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- type: precision
value: 0.9335975349016483
name: Precision Macro
verified: true
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- type: precision
value: 0.9308441558441558
name: Precision Micro
verified: true
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- type: precision
value: 0.9335975349016484
name: Precision Weighted
verified: true
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- type: recall
value: 0.930844155844156
name: Recall Macro
verified: true
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- type: recall
value: 0.9308441558441558
name: Recall Micro
verified: true
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- type: recall
value: 0.9308441558441558
name: Recall Weighted
verified: true
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- type: loss
value: 0.28434908390045166
name: loss
verified: true
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---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-banking77-pt2
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2844
- F1: 0.9312
## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.2215 | 1.0 | 313 | 1.1811 | 0.7646 |
| 0.6252 | 2.0 | 626 | 0.4665 | 0.9120 |
| 0.3323 | 3.0 | 939 | 0.3294 | 0.9281 |
| 0.1446 | 4.0 | 1252 | 0.3051 | 0.9267 |
| 0.0994 | 5.0 | 1565 | 0.2844 | 0.9312 |
### Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1
- Datasets 2.9.0
- Tokenizers 0.13.3
|