Commit
·
a077b18
1
Parent(s):
e5b50d8
update model card README.md
Browse files
README.md
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- summarization
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- rouge
|
8 |
+
model-index:
|
9 |
+
- name: TGL-3
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# TGL-3
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 2.4435
|
21 |
+
- Rouge1: 36.4998
|
22 |
+
- Rouge2: 17.8322
|
23 |
+
- Rougel: 31.8632
|
24 |
+
- Rougelsum: 31.8341
|
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: 5.6e-05
|
44 |
+
- train_batch_size: 8
|
45 |
+
- eval_batch_size: 8
|
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 |
+
|
51 |
+
### Training results
|
52 |
+
|
53 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|
54 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
|
55 |
+
| 2.9096 | 1.0 | 1240 | 2.5721 | 36.234 | 17.8214 | 31.5514 | 31.5549 |
|
56 |
+
| 2.7259 | 2.0 | 2480 | 2.5258 | 36.2572 | 17.9912 | 31.6249 | 31.6441 |
|
57 |
+
| 2.6434 | 3.0 | 3720 | 2.4957 | 36.4623 | 17.9657 | 31.7693 | 31.7542 |
|
58 |
+
| 2.5896 | 4.0 | 4960 | 2.4663 | 36.3692 | 17.8372 | 31.5909 | 31.6089 |
|
59 |
+
| 2.5491 | 5.0 | 6200 | 2.4511 | 36.4775 | 17.8094 | 31.8102 | 31.8003 |
|
60 |
+
| 2.5183 | 6.0 | 7440 | 2.4440 | 36.5892 | 17.906 | 31.9058 | 31.8985 |
|
61 |
+
| 2.4997 | 7.0 | 8680 | 2.4438 | 36.3747 | 17.8309 | 31.7314 | 31.7178 |
|
62 |
+
| 2.4863 | 8.0 | 9920 | 2.4435 | 36.4998 | 17.8322 | 31.8632 | 31.8341 |
|
63 |
+
|
64 |
+
|
65 |
+
### Framework versions
|
66 |
+
|
67 |
+
- Transformers 4.21.1
|
68 |
+
- Pytorch 1.12.0+cu113
|
69 |
+
- Datasets 2.4.0
|
70 |
+
- Tokenizers 0.12.1
|