---
license: apache-2.0
base_model: roofdancer/thesis-bart-finetuned-on-transformed
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: thesis-bart-transformed-on-presummarized-wcep
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# thesis-bart-transformed-on-presummarized-wcep

This model is a fine-tuned version of [roofdancer/thesis-bart-finetuned-on-transformed](https://huggingface.co/roofdancer/thesis-bart-finetuned-on-transformed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2198
- Rouge1: 35.6036
- Rouge2: 14.3534
- Rougel: 25.0065
- Rougelsum: 28.8395
- Gen Len: 68.6937

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.2855        | 1.0   | 510  | 2.2198          | 35.6036 | 14.3534 | 25.0065 | 28.8395   | 68.6937 |


### Framework versions

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