pytorch tensorboard bart text2text-generation transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e5-v4-e6-manual
  results: []
---

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# bart-cnn-science-v3-e5-v4-e6-manual

This model is a fine-tuned version of [theojolliffe/bart-cnn-science-v3-e5](https://huggingface.co/theojolliffe/bart-cnn-science-v3-e5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8609
- Rouge1: 54.0982
- Rouge2: 36.1022
- Rougel: 36.9584
- Rougelsum: 52.5383
- Gen Len: 142.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 42   | 0.7022          | 56.9307 | 38.2717 | 39.9091 | 53.9037   | 142.0   |
| No log        | 2.0   | 84   | 0.6840          | 50.7036 | 29.9002 | 33.0298 | 47.8775   | 142.0   |
| No log        | 3.0   | 126  | 0.7179          | 52.8561 | 32.2202 | 35.7914 | 51.0248   | 142.0   |
| No log        | 4.0   | 168  | 0.8149          | 54.8457 | 36.4705 | 35.931  | 52.4241   | 142.0   |
| No log        | 5.0   | 210  | 0.8330          | 55.6746 | 37.8316 | 36.9614 | 54.3022   | 142.0   |
| No log        | 6.0   | 252  | 0.8609          | 54.0982 | 36.1022 | 36.9584 | 52.5383   | 142.0   |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
