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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-paraphrase-v4-e1-feedback-e4
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-paraphrase-v4-e1-feedback-e4
This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9640
- Rouge1: 61.6305
- Rouge2: 41.9892
- Rougel: 57.0694
- Rougelsum: 58.3816
- Gen Len: 19.0
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 34 | 2.8512 | 67.5001 | 46.2823 | 62.2247 | 63.3811 | 18.875 |
| No log | 2.0 | 68 | 2.3116 | 62.1089 | 43.432 | 57.564 | 58.8003 | 19.0 |
| No log | 3.0 | 102 | 2.0519 | 61.2025 | 40.9901 | 56.3369 | 57.5829 | 19.0 |
| No log | 4.0 | 136 | 1.9640 | 61.6305 | 41.9892 | 57.0694 | 58.3816 | 19.0 |
### Framework versions
- Transformers 4.12.3
- Pytorch 1.9.0
- Datasets 1.18.0
- Tokenizers 0.10.3
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