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-e1-v4-e4-manual
  results: []
---

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# bart-cnn-science-v3-e1-v4-e4-manual

This model is a fine-tuned version of [theojolliffe/bart-cnn-science-v3-e1](https://huggingface.co/theojolliffe/bart-cnn-science-v3-e1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2615
- Rouge1: 53.36
- Rouge2: 32.0237
- Rougel: 33.2835
- Rougelsum: 50.7455
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 42   | 1.0675          | 51.743  | 31.3774 | 34.1939 | 48.7234   | 142.0   |
| No log        | 2.0   | 84   | 1.0669          | 49.4166 | 28.1438 | 30.188  | 46.0289   | 142.0   |
| No log        | 3.0   | 126  | 1.1799          | 52.6909 | 31.0174 | 35.441  | 50.0351   | 142.0   |
| No log        | 4.0   | 168  | 1.2615          | 53.36   | 32.0237 | 33.2835 | 50.7455   | 142.0   |


### Framework versions

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