Hugging Face's logo

irenepap
/
t5-small-asqa-ob

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Model card Files Community
3
irenepap commited on
Commit
32553fa
·
1 Parent(s): 23c6a50

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +19 -22
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 [google/t5-small-ssm-nq](https://huggingface.co/google/t5-small-ssm-nq) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 2.9381
20
- - Rouge1: 0.1633
21
- - Rouge2: 0.0907
22
- - Rougel: 0.1394
23
- - Rougelsum: 0.1393
24
 
25
  ## Model description
26
 
@@ -49,23 +49,20 @@ The following hyperparameters were used during training:
49
 
50
  ### Training results
51
 
52
- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
53
- |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
54
- | 3.8212 | 1.0 | 710 | 2.7920 | 0.1248 | 0.0624 | 0.1064 | 0.1063 |
55
- | 3.0559 | 2.0 | 1420 | 2.5937 | 0.1319 | 0.0715 | 0.1139 | 0.1138 |
56
- | 2.568 | 3.0 | 2130 | 2.4971 | 0.1398 | 0.0754 | 0.1206 | 0.1204 |
57
- | 2.384 | 4.0 | 2840 | 2.5024 | 0.1473 | 0.0817 | 0.1273 | 0.1271 |
58
- | 2.1599 | 5.0 | 3550 | 2.4947 | 0.1498 | 0.0824 | 0.1288 | 0.1287 |
59
- | 2.0444 | 6.0 | 4260 | 2.5305 | 0.1502 | 0.0837 | 0.1291 | 0.1290 |
60
- | 1.9219 | 7.0 | 4970 | 2.5486 | 0.1599 | 0.0890 | 0.1376 | 0.1373 |
61
- | 1.7532 | 8.0 | 5680 | 2.5772 | 0.1647 | 0.0914 | 0.1413 | 0.1411 |
62
- | 1.6895 | 9.0 | 6390 | 2.6346 | 0.1630 | 0.0911 | 0.1397 | 0.1395 |
63
- | 1.5751 | 10.0 | 7100 | 2.6650 | 0.1700 | 0.0944 | 0.1450 | 0.1449 |
64
- | 1.4616 | 11.0 | 7810 | 2.6705 | 0.1571 | 0.0874 | 0.1348 | 0.1346 |
65
- | 1.3923 | 12.0 | 8520 | 2.7767 | 0.1695 | 0.0951 | 0.1453 | 0.1450 |
66
- | 1.3043 | 13.0 | 9230 | 2.8091 | 0.1704 | 0.0943 | 0.1460 | 0.1457 |
67
- | 1.2868 | 14.0 | 9940 | 2.8390 | 0.1553 | 0.0854 | 0.1327 | 0.1324 |
68
- | 1.176 | 15.0 | 10650 | 2.9381 | 0.1633 | 0.0907 | 0.1394 | 0.1393 |
69
 
70
 
71
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [google/t5-small-ssm-nq](https://huggingface.co/google/t5-small-ssm-nq) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 2.8099
20
+ - Rouge1: 0.1493
21
+ - Rouge2: 0.0837
22
+ - Rougel: 0.1272
23
+ - Rougelsum: 0.1270
24
 
25
  ## Model description
26
 
 
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
53
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
54
+ | 3.8208 | 1.0 | 710 | 2.7856 | 0.1267 | 0.0644 | 0.1086 | 0.1084 |
55
+ | 3.0532 | 2.0 | 1420 | 2.6247 | 0.1321 | 0.0721 | 0.1145 | 0.1144 |
56
+ | 2.5656 | 3.0 | 2130 | 2.5062 | 0.1399 | 0.0773 | 0.1213 | 0.1213 |
57
+ | 2.3806 | 4.0 | 2840 | 2.5004 | 0.1431 | 0.0805 | 0.1243 | 0.1241 |
58
+ | 2.157 | 5.0 | 3550 | 2.5008 | 0.1455 | 0.0808 | 0.1255 | 0.1254 |
59
+ | 2.0458 | 6.0 | 4260 | 2.5313 | 0.1510 | 0.0846 | 0.1303 | 0.1301 |
60
+ | 1.914 | 7.0 | 4970 | 2.5298 | 0.1585 | 0.0885 | 0.1361 | 0.1358 |
61
+ | 1.7479 | 8.0 | 5680 | 2.5832 | 0.1508 | 0.0844 | 0.1292 | 0.1291 |
62
+ | 1.6875 | 9.0 | 6390 | 2.5928 | 0.1493 | 0.0834 | 0.1281 | 0.1279 |
63
+ | 1.574 | 10.0 | 7100 | 2.6364 | 0.1591 | 0.0885 | 0.1364 | 0.1363 |
64
+ | 1.4554 | 11.0 | 7810 | 2.6978 | 0.1513 | 0.0849 | 0.1295 | 0.1295 |
65
+ | 1.3909 | 12.0 | 8520 | 2.8099 | 0.1493 | 0.0837 | 0.1272 | 0.1270 |
 
 
 
66
 
67
 
68
  ### Framework versions