uk4zor commited on
Commit
aafab56
1 Parent(s): 16ea2a9

Training complete

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  license: apache-2.0
3
- base_model: Falconsai/text_summarization
4
  tags:
5
  - summarization
6
  - generated_from_trainer
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Rouge1
25
  type: rouge
26
- value: 39.350569666957284
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  # notification-hub
33
 
34
- This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on the samsum dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 1.8155
37
- - Rougel: 34.0230
38
- - Rouge1: 39.3506
39
 
40
  ## Model description
41
 
@@ -66,15 +66,15 @@ The following hyperparameters were used during training:
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Rougel | Rouge1 |
68
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
69
- | 2.1248 | 1.0 | 2482 | 1.8711 | 32.6871 | 37.4214 |
70
- | 1.9801 | 2.0 | 4964 | 1.8399 | 33.6102 | 38.8617 |
71
- | 1.9584 | 3.0 | 7446 | 1.8219 | 33.6316 | 38.8673 |
72
- | 1.907 | 4.0 | 9928 | 1.8155 | 34.0230 | 39.3506 |
73
 
74
 
75
  ### Framework versions
76
 
77
  - Transformers 4.35.2
78
- - Pytorch 2.1.0+cu118
79
  - Datasets 2.15.0
80
  - Tokenizers 0.15.0
 
1
  ---
2
  license: apache-2.0
3
+ base_model: google/flan-t5-base
4
  tags:
5
  - summarization
6
  - generated_from_trainer
 
23
  metrics:
24
  - name: Rouge1
25
  type: rouge
26
+ value: 44.34200782349507
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  # notification-hub
33
 
34
+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 1.5633
37
+ - Rougel: 38.3354
38
+ - Rouge1: 44.3420
39
 
40
  ## Model description
41
 
 
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Rougel | Rouge1 |
68
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
69
+ | 1.6364 | 1.0 | 2482 | 1.5543 | 37.6025 | 43.5207 |
70
+ | 1.4764 | 2.0 | 4964 | 1.5466 | 38.2764 | 44.0569 |
71
+ | 1.3991 | 3.0 | 7446 | 1.5556 | 38.2109 | 43.9420 |
72
+ | 1.3365 | 4.0 | 9928 | 1.5633 | 38.3354 | 44.3420 |
73
 
74
 
75
  ### Framework versions
76
 
77
  - Transformers 4.35.2
78
+ - Pytorch 2.1.0+cu121
79
  - Datasets 2.15.0
80
  - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ce881a71ac6dce4ead13ccacef5440a34584e7372ecd9cd9f366fea3c19e93bf
3
  size 990345064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d80245d7bde4cc4a8cb016fb5f24443903f74cd85c74d12a9a580f5fa13e1afb
3
  size 990345064
runs/Dec21_16-15-12_19caa3e25769/events.out.tfevents.1703175318.19caa3e25769.7799.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a79b368efd55f55f214d5d3844fddb4ff9382aa81461889f264741a5fdf4991c
3
- size 9342
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d2e5629bf4255f4b09f2aa51c20aad132aa733ec285034cee935375f37dd87c
3
+ size 10067
runs/Dec21_16-15-12_19caa3e25769/events.out.tfevents.1703179810.19caa3e25769.7799.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae17ce735d715a524db5efb7fdd648c50b12f37adf39df5aa42cf36ea349e134
3
+ size 459