airKlizz commited on
Commit
2e7134e
1 Parent(s): 42b0ca6

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +72 -0
README.md ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - summarization
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ model-index:
9
+ - name: mt5-base-wikinewssum-all-languages
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
+ # mt5-base-wikinewssum-all-languages
17
+
18
+ This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 2.2454
21
+ - Rouge1: 8.3826
22
+ - Rouge2: 3.5524
23
+ - Rougel: 6.8656
24
+ - Rougelsum: 7.8362
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: 4
45
+ - eval_batch_size: 4
46
+ - seed: 42
47
+ - gradient_accumulation_steps: 2
48
+ - total_train_batch_size: 8
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: linear
51
+ - num_epochs: 8
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
56
+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
57
+ | No log | 1.0 | 3467 | 2.4034 | 8.0363 | 3.2484 | 6.5409 | 7.477 |
58
+ | No log | 2.0 | 6934 | 2.3276 | 8.1054 | 3.2905 | 6.5765 | 7.5687 |
59
+ | No log | 3.0 | 10401 | 2.2976 | 8.169 | 3.4272 | 6.6597 | 7.6435 |
60
+ | No log | 4.0 | 13868 | 2.2795 | 8.2941 | 3.5353 | 6.7881 | 7.7664 |
61
+ | 2.8057 | 5.0 | 17335 | 2.2621 | 8.3302 | 3.5599 | 6.8238 | 7.7928 |
62
+ | 2.8057 | 6.0 | 20802 | 2.2547 | 8.3818 | 3.5886 | 6.8672 | 7.844 |
63
+ | 2.8057 | 7.0 | 24269 | 2.2472 | 8.3809 | 3.5696 | 6.8575 | 7.8327 |
64
+ | 2.8057 | 8.0 | 27736 | 2.2454 | 8.3826 | 3.5524 | 6.8656 | 7.8362 |
65
+
66
+
67
+ ### Framework versions
68
+
69
+ - Transformers 4.13.0
70
+ - Pytorch 1.10.1
71
+ - Datasets 1.16.1
72
+ - Tokenizers 0.10.3