Commit
·
ed7252e
1
Parent(s):
d4f3569
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- pub_med_summarization_dataset
|
| 7 |
+
metrics:
|
| 8 |
+
- rouge
|
| 9 |
+
model-index:
|
| 10 |
+
- name: distilbart-xsum-12-1-finetuned-pubmed
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
name: Sequence-to-sequence Language Modeling
|
| 14 |
+
type: text2text-generation
|
| 15 |
+
dataset:
|
| 16 |
+
name: pub_med_summarization_dataset
|
| 17 |
+
type: pub_med_summarization_dataset
|
| 18 |
+
args: document
|
| 19 |
+
metrics:
|
| 20 |
+
- name: Rouge1
|
| 21 |
+
type: rouge
|
| 22 |
+
value: 27.0012
|
| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 26 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 27 |
+
|
| 28 |
+
# distilbart-xsum-12-1-finetuned-pubmed
|
| 29 |
+
|
| 30 |
+
This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-1](https://huggingface.co/sshleifer/distilbart-xsum-12-1) on the pub_med_summarization_dataset dataset.
|
| 31 |
+
It achieves the following results on the evaluation set:
|
| 32 |
+
- Loss: 2.8236
|
| 33 |
+
- Rouge1: 27.0012
|
| 34 |
+
- Rouge2: 12.728
|
| 35 |
+
- Rougel: 19.8685
|
| 36 |
+
- Rougelsum: 25.0485
|
| 37 |
+
- Gen Len: 59.969
|
| 38 |
+
|
| 39 |
+
## Model description
|
| 40 |
+
|
| 41 |
+
More information needed
|
| 42 |
+
|
| 43 |
+
## Intended uses & limitations
|
| 44 |
+
|
| 45 |
+
More information needed
|
| 46 |
+
|
| 47 |
+
## Training and evaluation data
|
| 48 |
+
|
| 49 |
+
More information needed
|
| 50 |
+
|
| 51 |
+
## Training procedure
|
| 52 |
+
|
| 53 |
+
### Training hyperparameters
|
| 54 |
+
|
| 55 |
+
The following hyperparameters were used during training:
|
| 56 |
+
- learning_rate: 2e-05
|
| 57 |
+
- train_batch_size: 2
|
| 58 |
+
- eval_batch_size: 2
|
| 59 |
+
- seed: 42
|
| 60 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 61 |
+
- lr_scheduler_type: linear
|
| 62 |
+
- num_epochs: 5
|
| 63 |
+
- mixed_precision_training: Native AMP
|
| 64 |
+
|
| 65 |
+
### Training results
|
| 66 |
+
|
| 67 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 68 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
|
| 69 |
+
| 3.3604 | 1.0 | 4000 | 3.1575 | 25.0078 | 11.5381 | 18.4246 | 23.1605 | 54.8935 |
|
| 70 |
+
| 3.0697 | 2.0 | 8000 | 2.9478 | 26.4947 | 12.5411 | 19.4328 | 24.6123 | 57.948 |
|
| 71 |
+
| 2.8638 | 3.0 | 12000 | 2.8672 | 26.8856 | 12.7568 | 19.8949 | 24.8745 | 59.6245 |
|
| 72 |
+
| 2.7243 | 4.0 | 16000 | 2.8347 | 26.7347 | 12.5152 | 19.6516 | 24.7756 | 60.439 |
|
| 73 |
+
| 2.6072 | 5.0 | 20000 | 2.8236 | 27.0012 | 12.728 | 19.8685 | 25.0485 | 59.969 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- Transformers 4.17.0
|
| 79 |
+
- Pytorch 1.10.0+cu111
|
| 80 |
+
- Datasets 1.18.3
|
| 81 |
+
- Tokenizers 0.11.6
|