---
license: apache-2.0
base_model: roofdancer/thesis-bart-finetuned
tags:
- generated_from_trainer
datasets:
- wcep-10
metrics:
- rouge
model-index:
- name: thesis-bart-transfered-on-original-wcep
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: wcep-10
      type: wcep-10
      config: roberta
      split: validation
      args: roberta
    metrics:
    - name: Rouge1
      type: rouge
      value: 37.0523
---

<!-- 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. -->

# thesis-bart-transfered-on-original-wcep

This model is a fine-tuned version of [roofdancer/thesis-bart-finetuned](https://huggingface.co/roofdancer/thesis-bart-finetuned) on the wcep-10 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9636
- Rouge1: 37.0523
- Rouge2: 16.3494
- Rougel: 26.5969
- Rougelsum: 30.3484
- Gen Len: 69.6147

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.015         | 1.0   | 510  | 1.9658          | 36.7717 | 16.2582 | 26.3675 | 30.2708   | 70.5186 |
| 1.7162        | 2.0   | 1020 | 1.9491          | 36.6604 | 16.1166 | 26.2311 | 29.8851   | 69.7657 |
| 1.5603        | 3.0   | 1530 | 1.9636          | 37.0523 | 16.3494 | 26.5969 | 30.3484   | 69.6147 |


### Framework versions

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