update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- generated_from_trainer
|
| 4 |
+
metrics:
|
| 5 |
+
- rouge
|
| 6 |
+
model-index:
|
| 7 |
+
- name: pegasus-multi_news-commentaries_hdwriter
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# pegasus-multi_news-commentaries_hdwriter
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on an unknown dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 2.7259
|
| 19 |
+
- Rouge1: 21.3899
|
| 20 |
+
- Rouge2: 6.2409
|
| 21 |
+
- Rougel: 16.6172
|
| 22 |
+
- Rougelsum: 17.808
|
| 23 |
+
- Gen Len: 34.7016
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 2e-05
|
| 43 |
+
- train_batch_size: 1
|
| 44 |
+
- eval_batch_size: 1
|
| 45 |
+
- seed: 42
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 5
|
| 49 |
+
- mixed_precision_training: Native AMP
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 54 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
|
| 55 |
+
| 2.847 | 1.0 | 4710 | 2.7513 | 20.5559 | 5.9762 | 16.1223 | 17.2872 | 35.81 |
|
| 56 |
+
| 2.6399 | 2.0 | 9420 | 2.6890 | 21.2052 | 6.0104 | 16.5753 | 17.6517 | 34.5242 |
|
| 57 |
+
| 2.3811 | 3.0 | 14130 | 2.6904 | 21.2358 | 6.1416 | 16.6053 | 17.7067 | 34.6157 |
|
| 58 |
+
| 2.2388 | 4.0 | 18840 | 2.7112 | 21.3806 | 6.1895 | 16.6909 | 17.7504 | 34.5227 |
|
| 59 |
+
| 2.1589 | 5.0 | 23550 | 2.7259 | 21.3899 | 6.2409 | 16.6172 | 17.808 | 34.7016 |
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
### Framework versions
|
| 63 |
+
|
| 64 |
+
- Transformers 4.15.0
|
| 65 |
+
- Pytorch 1.10.0+cu111
|
| 66 |
+
- Datasets 1.17.0
|
| 67 |
+
- Tokenizers 0.10.3
|