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---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-cnn_dailymail-v4-e1-e4-feedback
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. -->
# pegasus-cnn_dailymail-v4-e1-e4-feedback
This model is a fine-tuned version of [theojolliffe/pegasus-cnn_dailymail-v4-e1](https://huggingface.co/theojolliffe/pegasus-cnn_dailymail-v4-e1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1815
- Rouge1: 59.7329
- Rouge2: 42.429
- Rougel: 53.5945
- Rougelsum: 52.9219
- Gen Len: 37.8636
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 90 | 5.5674 | 60.4652 | 43.8057 | 54.5759 | 52.5243 | 39.5 |
| No log | 2.0 | 180 | 5.3261 | 60.248 | 43.9953 | 54.9492 | 53.6372 | 38.6364 |
| No log | 3.0 | 270 | 5.2167 | 60.4887 | 43.6915 | 54.3825 | 53.5206 | 37.1364 |
| No log | 4.0 | 360 | 5.1815 | 59.7329 | 42.429 | 53.5945 | 52.9219 | 37.8636 |
### Framework versions
- Transformers 4.12.3
- Pytorch 1.9.0
- Datasets 1.18.0
- Tokenizers 0.10.3
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