Commit
•
5ffea8a
1
Parent(s):
99f169e
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- rouge
|
| 7 |
+
model-index:
|
| 8 |
+
- name: bart-large-cnn-finetuned-roundup-2-8
|
| 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 |
+
# bart-large-cnn-finetuned-roundup-2-8
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.1855
|
| 20 |
+
- Rouge1: 53.552
|
| 21 |
+
- Rouge2: 34.9077
|
| 22 |
+
- Rougel: 38.0158
|
| 23 |
+
- Rougelsum: 50.7179
|
| 24 |
+
- Gen Len: 142.0
|
| 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: 2e-05
|
| 44 |
+
- train_batch_size: 2
|
| 45 |
+
- eval_batch_size: 2
|
| 46 |
+
- seed: 42
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- num_epochs: 8
|
| 50 |
+
- mixed_precision_training: Native AMP
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 55 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
|
| 56 |
+
| No log | 1.0 | 167 | 1.2085 | 50.8706 | 32.0069 | 32.9241 | 47.9805 | 142.0 |
|
| 57 |
+
| No log | 2.0 | 334 | 1.0897 | 53.2218 | 34.1317 | 34.4827 | 50.4795 | 139.4286 |
|
| 58 |
+
| 1.0256 | 3.0 | 501 | 1.0535 | 50.8882 | 30.2514 | 31.5051 | 47.9856 | 141.9048 |
|
| 59 |
+
| 1.0256 | 4.0 | 668 | 1.0515 | 54.9414 | 35.2309 | 36.006 | 52.0331 | 142.0 |
|
| 60 |
+
| 1.0256 | 5.0 | 835 | 1.0829 | 53.0709 | 33.4587 | 36.4223 | 50.1627 | 140.7619 |
|
| 61 |
+
| 0.4579 | 6.0 | 1002 | 1.1310 | 51.5274 | 30.7069 | 32.4146 | 48.8851 | 142.0 |
|
| 62 |
+
| 0.4579 | 7.0 | 1169 | 1.1670 | 52.1536 | 31.7158 | 35.7483 | 49.2678 | 142.0 |
|
| 63 |
+
| 0.4579 | 8.0 | 1336 | 1.1855 | 53.552 | 34.9077 | 38.0158 | 50.7179 | 142.0 |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.18.0
|
| 69 |
+
- Pytorch 1.11.0+cu113
|
| 70 |
+
- Datasets 2.1.0
|
| 71 |
+
- Tokenizers 0.12.1
|