---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: bert_key_extractor_finetune
  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_key_extractor_finetune

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0069

## 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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.322        | 0.99  | 14   | 10.9937         |
| 9.3954        | 1.98  | 28   | 8.8487          |
| 6.5458        | 2.97  | 42   | 5.9401          |
| 5.1036        | 3.96  | 56   | 4.6196          |
| 3.8587        | 4.96  | 70   | 3.4009          |
| 2.7987        | 5.95  | 84   | 2.7571          |
| 2.6306        | 6.94  | 98   | 2.5074          |
| 2.3636        | 8.0   | 113  | 2.3132          |
| 2.2169        | 8.99  | 127  | 2.2248          |
| 2.1732        | 9.98  | 141  | 2.1092          |
| 2.0377        | 10.97 | 155  | 2.0351          |
| 1.9973        | 11.89 | 168  | 2.0069          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.0+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1