File size: 2,121 Bytes
b85a226 cd8db25 b85a226 cd8db25 b85a226 cd8db25 b85a226 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-xsum_summarization
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-xsum_summarization
This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7876
- Rouge1: 25.7148
- Rouge2: 10.9685
- Rougel: 21.6394
- Rougelsum: 22.3122
## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.633 | 1.0 | 50 | 1.8839 | 24.9703 | 9.6517 | 19.9759 | 21.088 |
| 1.3917 | 2.0 | 100 | 1.8565 | 24.4395 | 9.1755 | 19.5702 | 20.5489 |
| 1.2576 | 3.0 | 150 | 1.8361 | 24.8266 | 10.2009 | 20.074 | 21.382 |
| 1.1191 | 4.0 | 200 | 1.8226 | 25.9635 | 11.7704 | 21.7787 | 22.365 |
| 1.1138 | 5.0 | 250 | 1.8239 | 26.7874 | 12.2832 | 22.7792 | 23.4501 |
| 1.0338 | 6.0 | 300 | 1.8094 | 26.3543 | 12.0501 | 22.3172 | 23.1194 |
| 1.0084 | 7.0 | 350 | 1.7923 | 25.5686 | 11.0213 | 21.5288 | 21.8892 |
| 1.0098 | 8.0 | 400 | 1.7876 | 25.7148 | 10.9685 | 21.6394 | 22.3122 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1
|