domenicrosati commited on
Commit
224bc7b
1 Parent(s): e55a160

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -10
README.md CHANGED
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 2.1611
20
- - Rouge1: 0.4551
21
- - Rouge2: 0.1554
22
- - Rougel: 0.2438
23
- - Rougelsum: 0.2438
24
 
25
  ## Model description
26
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
55
- | 2.281 | 0.69 | 5000 | 2.2276 | 0.4505 | 0.1517 | 0.2417 | 0.2417 |
56
- | 2.047 | 1.37 | 10000 | 2.1611 | 0.4551 | 0.1554 | 0.2438 | 0.2438 |
57
- | 1.9301 | 2.06 | 15000 | 2.1339 | 0.4535 | 0.1516 | 0.2392 | 0.2391 |
58
- | 1.911 | 2.75 | 20000 | 2.1155 | 0.4543 | 0.1531 | 0.2399 | 0.2398 |
59
- | 1.7848 | 3.43 | 25000 | 2.1046 | 0.4537 | 0.1519 | 0.2398 | 0.2398 |
60
 
61
 
62
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 2.0862
20
+ - Rouge1: 0.4588
21
+ - Rouge2: 0.1586
22
+ - Rougel: 0.2453
23
+ - Rougelsum: 0.2454
24
 
25
  ## Model description
26
 
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
55
+ | 2.2475 | 0.69 | 5000 | 2.1935 | 0.4496 | 0.1550 | 0.2442 | 0.2442 |
56
+ | 2.015 | 1.37 | 10000 | 2.1321 | 0.4542 | 0.1570 | 0.2454 | 0.2454 |
57
+ | 1.8987 | 2.06 | 15000 | 2.0989 | 0.4563 | 0.1571 | 0.2444 | 0.2446 |
58
+ | 1.8767 | 2.75 | 20000 | 2.0862 | 0.4588 | 0.1586 | 0.2453 | 0.2454 |
59
+ | 1.7529 | 3.43 | 25000 | 2.0726 | 0.4584 | 0.1583 | 0.2464 | 0.2464 |
60
 
61
 
62
  ### Framework versions