Hugging Face's logo

BlueBeagle
/
t5-small-finetuned-xsum

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
4
BlueBeagle commited on
Commit
02d68b0
•
1 Parent(s): adfbc61

End of training

Browse files
Files changed (3) hide show
  1. README.md +22 -4
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
3
  base_model: t5-small
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: t5-small-finetuned-xsum
8
  results: []
@@ -14,6 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
14
  # t5-small-finetuned-xsum
15
 
16
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
 
 
 
 
 
 
 
17
 
18
  ## Model description
19
 
@@ -38,13 +47,22 @@ The following hyperparameters were used during training:
38
  - seed: 42
39
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
40
  - lr_scheduler_type: linear
41
- - num_epochs: 1
42
 
43
  ### Training results
44
 
45
- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
46
- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
47
- | No log | 1.0 | 3 | 2.1299 | 6.9356 | 2.6916 | 6.7396 | 6.9122 | 16.5926 |
 
 
 
 
 
 
 
 
 
48
 
49
 
50
  ### Framework versions
 
3
  base_model: t5-small
4
  tags:
5
  - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
  model-index:
9
  - name: t5-small-finetuned-xsum
10
  results: []
 
16
  # t5-small-finetuned-xsum
17
 
18
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 1.4626
21
+ - Rouge1: 10.9564
22
+ - Rouge2: 4.685
23
+ - Rougel: 10.3752
24
+ - Rougelsum: 10.39
25
+ - Gen Len: 15.9259
26
 
27
  ## Model description
28
 
 
47
  - seed: 42
48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
  - lr_scheduler_type: linear
50
+ - num_epochs: 10
51
 
52
  ### Training results
53
 
54
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
56
+ | No log | 1.0 | 3 | 2.0757 | 5.4388 | 1.552 | 5.2972 | 5.3409 | 16.6667 |
57
+ | No log | 2.0 | 6 | 1.9515 | 7.8036 | 3.5979 | 7.7847 | 7.8498 | 16.6667 |
58
+ | No log | 3.0 | 9 | 1.8397 | 7.8036 | 3.5979 | 7.7847 | 7.8498 | 16.8148 |
59
+ | No log | 4.0 | 12 | 1.7541 | 9.1266 | 4.3563 | 9.1926 | 9.2266 | 16.8148 |
60
+ | No log | 5.0 | 15 | 1.6738 | 9.2104 | 4.3563 | 9.3105 | 9.3533 | 16.5556 |
61
+ | No log | 6.0 | 18 | 1.5897 | 9.6908 | 4.3563 | 9.8162 | 9.8658 | 16.5185 |
62
+ | No log | 7.0 | 21 | 1.5435 | 9.5442 | 3.8683 | 9.6336 | 9.5258 | 16.7037 |
63
+ | No log | 8.0 | 24 | 1.5038 | 10.7654 | 4.4381 | 10.1637 | 10.1979 | 16.7037 |
64
+ | No log | 9.0 | 27 | 1.4776 | 10.7654 | 4.4381 | 10.1637 | 10.1979 | 16.1481 |
65
+ | No log | 10.0 | 30 | 1.4626 | 10.9564 | 4.685 | 10.3752 | 10.39 | 15.9259 |
66
 
67
 
68
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2c265f1365f10aee3ee6240d6ff714e5fbf5b666753bea1fac8c9a7eeee3b57d
3
  size 242071641
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10796fdde39945fdc2b7262548bd884bb55b1afce5f4a2fb71c9f659a9d24ce8
3
  size 242071641
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a66b9e73414de119e5b28961e2781c8681d53df9a94a7ae30e2465fe949d2b6c
3
  size 4219
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e259114797748eb9c5963de5ae325145c353af918769d2e87bfe3d8dc36b727
3
  size 4219