Commit ·
839b06b
1
Parent(s): dc724ce
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-smallV_59491
|
| 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-smallV_59491
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [Danish-summarisation/DanSumT5-small](https://huggingface.co/Danish-summarisation/DanSumT5-small) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 2.4715
|
| 20 |
+
- Rouge1: 34.3324
|
| 21 |
+
- Rouge2: 11.2932
|
| 22 |
+
- Rougel: 20.8529
|
| 23 |
+
- Rougelsum: 31.803
|
| 24 |
+
- Gen Len: 126.0591
|
| 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: 16
|
| 45 |
+
- eval_batch_size: 16
|
| 46 |
+
- seed: 42
|
| 47 |
+
- gradient_accumulation_steps: 4
|
| 48 |
+
- total_train_batch_size: 64
|
| 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 | 0.97 | 29 | 2.6350 | 32.3407 | 9.3733 | 18.8907 | 29.6731 | 126.4726 |
|
| 58 |
+
| No log | 1.98 | 59 | 2.5732 | 33.2864 | 10.0998 | 19.4234 | 30.5031 | 126.5021 |
|
| 59 |
+
| No log | 2.99 | 89 | 2.5433 | 34.0216 | 10.7327 | 20.0836 | 31.3728 | 125.9873 |
|
| 60 |
+
| No log | 4.0 | 119 | 2.5209 | 34.1794 | 10.8803 | 20.414 | 31.4901 | 126.654 |
|
| 61 |
+
| No log | 4.97 | 148 | 2.5065 | 34.1598 | 10.9122 | 20.5029 | 31.5882 | 126.443 |
|
| 62 |
+
| No log | 5.98 | 178 | 2.4942 | 34.3057 | 10.8906 | 20.6468 | 31.628 | 126.8354 |
|
| 63 |
+
| No log | 6.99 | 208 | 2.4843 | 34.2147 | 10.9465 | 20.4998 | 31.5286 | 126.3418 |
|
| 64 |
+
| No log | 8.0 | 238 | 2.4768 | 34.3636 | 11.2347 | 20.6723 | 31.7775 | 126.3165 |
|
| 65 |
+
| No log | 8.97 | 267 | 2.4736 | 34.1256 | 11.3376 | 20.6823 | 31.6962 | 126.2447 |
|
| 66 |
+
| No log | 9.98 | 297 | 2.4718 | 34.3458 | 11.2773 | 20.8056 | 31.8051 | 125.9789 |
|
| 67 |
+
| No log | 10.72 | 319 | 2.4715 | 34.3324 | 11.2932 | 20.8529 | 31.803 | 126.0591 |
|
| 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
|