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---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-banking77-pt2
results: []
---
<!-- 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3089
- F1: 0.9362
## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.261 | 1.0 | 313 | 1.0894 | 0.7969 |
| 0.5499 | 2.0 | 626 | 0.4196 | 0.9103 |
| 0.305 | 3.0 | 939 | 0.3403 | 0.9157 |
| 0.1277 | 4.0 | 1252 | 0.3020 | 0.9251 |
| 0.0857 | 5.0 | 1565 | 0.2911 | 0.9306 |
| 0.0347 | 6.0 | 1878 | 0.2865 | 0.9333 |
| 0.0251 | 7.0 | 2191 | 0.2994 | 0.9362 |
| 0.0111 | 8.0 | 2504 | 0.2970 | 0.9365 |
| 0.0075 | 9.0 | 2817 | 0.3102 | 0.9364 |
| 0.0058 | 10.0 | 3130 | 0.3089 | 0.9362 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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