Commit ·
b469940
1
Parent(s): c4bc601
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- rouge
|
| 7 |
+
model-index:
|
| 8 |
+
- name: DanSumT5-largeV_38143
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# DanSumT5-largeV_38143
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [Danish-summarisation/DanSumT5-large](https://huggingface.co/Danish-summarisation/DanSumT5-large) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.9493
|
| 20 |
+
- Rouge1: 36.0009
|
| 21 |
+
- Rouge2: 12.4957
|
| 22 |
+
- Rougel: 22.4757
|
| 23 |
+
- Rougelsum: 33.603
|
| 24 |
+
- Gen Len: 125.1519
|
| 25 |
+
|
| 26 |
+
## Model description
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Intended uses & limitations
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training and evaluation data
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Training procedure
|
| 39 |
+
|
| 40 |
+
### Training hyperparameters
|
| 41 |
+
|
| 42 |
+
The following hyperparameters were used during training:
|
| 43 |
+
- learning_rate: 5e-05
|
| 44 |
+
- train_batch_size: 4
|
| 45 |
+
- eval_batch_size: 4
|
| 46 |
+
- seed: 42
|
| 47 |
+
- gradient_accumulation_steps: 4
|
| 48 |
+
- total_train_batch_size: 16
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: linear
|
| 51 |
+
- num_epochs: 11
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
|
| 57 |
+
| No log | 0.99 | 118 | 2.1442 | 34.5887 | 11.0101 | 20.7128 | 32.0179 | 126.1603 |
|
| 58 |
+
| No log | 2.0 | 237 | 2.0645 | 34.9243 | 11.2939 | 21.4174 | 32.5111 | 125.7342 |
|
| 59 |
+
| No log | 3.0 | 356 | 2.0220 | 35.3258 | 11.7644 | 21.6971 | 32.9952 | 125.3713 |
|
| 60 |
+
| No log | 4.0 | 475 | 1.9962 | 35.4098 | 11.883 | 21.6822 | 33.0259 | 124.7553 |
|
| 61 |
+
| 2.2257 | 4.99 | 593 | 1.9807 | 36.0239 | 12.4173 | 22.5759 | 33.6794 | 125.038 |
|
| 62 |
+
| 2.2257 | 6.0 | 712 | 1.9656 | 35.847 | 12.3976 | 22.3612 | 33.5817 | 125.1646 |
|
| 63 |
+
| 2.2257 | 7.0 | 831 | 1.9606 | 35.6499 | 12.1119 | 22.3208 | 33.3221 | 124.6751 |
|
| 64 |
+
| 2.2257 | 8.0 | 950 | 1.9533 | 35.6641 | 12.3948 | 22.4477 | 33.3256 | 124.6878 |
|
| 65 |
+
| 1.9052 | 8.99 | 1068 | 1.9559 | 35.7509 | 12.4988 | 22.6593 | 33.4865 | 124.4937 |
|
| 66 |
+
| 1.9052 | 10.0 | 1187 | 1.9508 | 35.9176 | 12.548 | 22.6092 | 33.6489 | 125.0295 |
|
| 67 |
+
| 1.9052 | 10.93 | 1298 | 1.9493 | 36.0009 | 12.4957 | 22.4757 | 33.603 | 125.1519 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.30.2
|
| 73 |
+
- Pytorch 1.12.1+git7548e2f
|
| 74 |
+
- Datasets 2.13.2
|
| 75 |
+
- Tokenizers 0.13.3
|