Hugging Face's logo

jkv53
/
mt5-small-finetuned-13f-reports

Summarization
Transformers
PyTorch
English
mt5
text2text-generation
Generated from Trainer
Inference Endpoints
Model card Files Community
jkv53 commited on
Commit
a9006ad
•
1 Parent(s): ef3f1bd

Training complete

Browse files
Files changed (2) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.5998
22
- - Rouge1: 0.6865
23
- - Rouge2: 0.6132
24
- - Rougel: 0.6746
25
- - Rougelsum: 0.675
26
 
27
  ## Model description
28
 
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
55
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
56
- | 2.6234 | 1.0 | 126 | 1.1515 | 0.5933 | 0.497 | 0.5686 | 0.5688 |
57
- | 1.5259 | 2.0 | 252 | 0.8439 | 0.6516 | 0.5674 | 0.6349 | 0.6357 |
58
- | 1.2123 | 3.0 | 378 | 0.7462 | 0.661 | 0.5832 | 0.6474 | 0.6478 |
59
- | 0.9923 | 4.0 | 504 | 0.6930 | 0.6674 | 0.5869 | 0.6534 | 0.6544 |
60
- | 0.8811 | 5.0 | 630 | 0.6358 | 0.6747 | 0.595 | 0.662 | 0.6619 |
61
- | 0.7831 | 6.0 | 756 | 0.6148 | 0.686 | 0.6105 | 0.6739 | 0.6741 |
62
- | 0.7908 | 7.0 | 882 | 0.6011 | 0.6871 | 0.6132 | 0.6752 | 0.6755 |
63
- | 0.7525 | 8.0 | 1008 | 0.5998 | 0.6865 | 0.6132 | 0.6746 | 0.675 |
64
 
65
 
66
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.4818
22
+ - Rouge1: 0.3235
23
+ - Rouge2: 0.2725
24
+ - Rougel: 0.3146
25
+ - Rougelsum: 0.3161
26
 
27
  ## Model description
28
 
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
55
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
56
+ | 11.4662 | 1.0 | 126 | 2.9329 | 0.2023 | 0.0998 | 0.1717 | 0.1792 |
57
+ | 3.4401 | 2.0 | 252 | 1.9914 | 0.3142 | 0.2573 | 0.3015 | 0.3036 |
58
+ | 2.5139 | 3.0 | 378 | 1.7493 | 0.3131 | 0.2576 | 0.3022 | 0.3039 |
59
+ | 2.152 | 4.0 | 504 | 1.6465 | 0.3114 | 0.2564 | 0.3009 | 0.3024 |
60
+ | 1.9624 | 5.0 | 630 | 1.5607 | 0.3202 | 0.2695 | 0.3114 | 0.3127 |
61
+ | 1.851 | 6.0 | 756 | 1.5163 | 0.3205 | 0.2704 | 0.3101 | 0.311 |
62
+ | 1.8002 | 7.0 | 882 | 1.4848 | 0.3225 | 0.2718 | 0.3148 | 0.3161 |
63
+ | 1.7864 | 8.0 | 1008 | 1.4818 | 0.3235 | 0.2725 | 0.3146 | 0.3161 |
64
 
65
 
66
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ae69ac0615fdf95d9a3198362da026e565722d432cc7687d6b07566e4b39dd43
3
  size 1200772613
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c311de27069cb25c310eb8eda0a14fa186efd181202678cd68ed0a6b3ae03b5
3
  size 1200772613