---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test_sum_abs_bart-base_interpret_stops
  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. -->

# test_sum_abs_bart-base_interpret_stops

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: 3.2138
- Rouge1: 0.1463
- Rouge2: 0.033
- Rougel: 0.1107
- Rougelsum: 0.1107
- Gen Len: 20.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.5259        | 1.0   | 3109  | 3.2984          | 0.1437 | 0.0332 | 0.1086 | 0.1086    | 20.0    |
| 3.4331        | 2.0   | 6218  | 3.2446          | 0.1464 | 0.0329 | 0.1107 | 0.1108    | 20.0    |
| 3.3512        | 3.0   | 9327  | 3.2226          | 0.146  | 0.0325 | 0.1105 | 0.1105    | 20.0    |
| 3.319         | 4.0   | 12436 | 3.2138          | 0.1463 | 0.033  | 0.1107 | 0.1107    | 20.0    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2