---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- learn3r/summ_screen_fd_bp
model-index:
- name: summ_screen_fd_blueprint_epoch_10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# summ_screen_fd_blueprint_epoch_10

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the learn3r/summ_screen_fd_bp dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0208

## 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: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.382         | 0.97  | 14   | 2.3120          |
| 2.5354        | 1.95  | 28   | 2.1625          |
| 2.2504        | 2.99  | 43   | 2.1031          |
| 2.1809        | 3.97  | 57   | 2.0733          |
| 2.0889        | 4.94  | 71   | 2.0513          |
| 2.0586        | 5.98  | 86   | 2.0359          |
| 2.0117        | 6.96  | 100  | 2.0325          |
| 1.9849        | 8.0   | 115  | 2.0254          |
| 1.9803        | 8.97  | 129  | 2.0218          |
| 1.9584        | 9.74  | 140  | 2.0208          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3