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---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e1-v4-e6-manual
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. -->
# bart-cnn-science-v3-e1-v4-e6-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: 1.4513
- Rouge1: 51.4471
- Rouge2: 31.5595
- Rougel: 31.7717
- Rougelsum: 49.4999
- 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 | 1.0691 | 51.1883 | 31.2479 | 33.7004 | 48.9571 | 142.0 |
| No log | 2.0 | 84 | 1.0883 | 51.7634 | 29.8573 | 30.7155 | 49.3378 | 142.0 |
| No log | 3.0 | 126 | 1.2355 | 52.9606 | 31.3539 | 33.5131 | 49.9275 | 142.0 |
| No log | 4.0 | 168 | 1.3430 | 52.2108 | 32.7896 | 34.65 | 50.4271 | 139.1 |
| No log | 5.0 | 210 | 1.3963 | 51.5335 | 30.4157 | 31.5759 | 49.6904 | 142.0 |
| No log | 6.0 | 252 | 1.4513 | 51.4471 | 31.5595 | 31.7717 | 49.4999 | 142.0 |
### Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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