Hugging Face's logo

suneeln-duke
/
falcon-summ

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
suneeln-duke commited on
Commit
631c3d5
•
1 Parent(s): f0269c0

End of training

Browse files
Files changed (4) hide show
  1. README.md +94 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
  4. runs/Apr21_19-48-17_c9af55bc8b8e/events.out.tfevents.1713728898.c9af55bc8b8e.34.0 +2 -2
README.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: Falconsai/text_summarization
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ model-index:
9
+ - name: falcon-summ
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # falcon-summ
17
+
18
+ This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 2.1784
21
+ - Rouge1: 0.1921
22
+ - Rouge2: 0.0958
23
+ - Rougel: 0.1642
24
+ - Rougelsum: 0.1643
25
+ - Gen Len: 19.0
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 2e-05
45
+ - train_batch_size: 16
46
+ - eval_batch_size: 16
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - num_epochs: 30
51
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
56
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
57
+ | No log | 1.0 | 62 | 2.6597 | 0.1336 | 0.0451 | 0.1109 | 0.1109 | 19.0 |
58
+ | No log | 2.0 | 124 | 2.5126 | 0.1519 | 0.0584 | 0.1258 | 0.1259 | 19.0 |
59
+ | No log | 3.0 | 186 | 2.4354 | 0.1702 | 0.0705 | 0.142 | 0.1422 | 19.0 |
60
+ | No log | 4.0 | 248 | 2.3855 | 0.1915 | 0.0922 | 0.1616 | 0.1618 | 19.0 |
61
+ | No log | 5.0 | 310 | 2.3499 | 0.1932 | 0.0939 | 0.1641 | 0.1644 | 19.0 |
62
+ | No log | 6.0 | 372 | 2.3251 | 0.1951 | 0.0959 | 0.1665 | 0.1667 | 19.0 |
63
+ | No log | 7.0 | 434 | 2.3035 | 0.1943 | 0.0963 | 0.1655 | 0.1656 | 19.0 |
64
+ | No log | 8.0 | 496 | 2.2879 | 0.1941 | 0.0953 | 0.1652 | 0.1653 | 19.0 |
65
+ | 2.6368 | 9.0 | 558 | 2.2695 | 0.1952 | 0.0958 | 0.1665 | 0.1667 | 19.0 |
66
+ | 2.6368 | 10.0 | 620 | 2.2588 | 0.194 | 0.0952 | 0.1651 | 0.1653 | 19.0 |
67
+ | 2.6368 | 11.0 | 682 | 2.2476 | 0.1954 | 0.0968 | 0.1668 | 0.167 | 19.0 |
68
+ | 2.6368 | 12.0 | 744 | 2.2396 | 0.1944 | 0.0965 | 0.1656 | 0.1657 | 19.0 |
69
+ | 2.6368 | 13.0 | 806 | 2.2296 | 0.1929 | 0.0963 | 0.1641 | 0.1644 | 19.0 |
70
+ | 2.6368 | 14.0 | 868 | 2.2242 | 0.1928 | 0.0969 | 0.1639 | 0.1639 | 19.0 |
71
+ | 2.6368 | 15.0 | 930 | 2.2159 | 0.1935 | 0.0971 | 0.164 | 0.1641 | 19.0 |
72
+ | 2.6368 | 16.0 | 992 | 2.2114 | 0.1924 | 0.0965 | 0.164 | 0.1641 | 19.0 |
73
+ | 2.3506 | 17.0 | 1054 | 2.2077 | 0.1926 | 0.0973 | 0.1644 | 0.1645 | 19.0 |
74
+ | 2.3506 | 18.0 | 1116 | 2.2031 | 0.1933 | 0.0968 | 0.1647 | 0.1648 | 19.0 |
75
+ | 2.3506 | 19.0 | 1178 | 2.1971 | 0.1928 | 0.0962 | 0.1643 | 0.1644 | 19.0 |
76
+ | 2.3506 | 20.0 | 1240 | 2.1956 | 0.1925 | 0.0956 | 0.165 | 0.1651 | 19.0 |
77
+ | 2.3506 | 21.0 | 1302 | 2.1903 | 0.1927 | 0.0958 | 0.1644 | 0.1644 | 19.0 |
78
+ | 2.3506 | 22.0 | 1364 | 2.1882 | 0.1933 | 0.0972 | 0.1653 | 0.1653 | 19.0 |
79
+ | 2.3506 | 23.0 | 1426 | 2.1858 | 0.1921 | 0.0956 | 0.1639 | 0.1641 | 19.0 |
80
+ | 2.3506 | 24.0 | 1488 | 2.1842 | 0.1921 | 0.0956 | 0.1642 | 0.1643 | 19.0 |
81
+ | 2.2758 | 25.0 | 1550 | 2.1832 | 0.1919 | 0.0958 | 0.1645 | 0.1647 | 19.0 |
82
+ | 2.2758 | 26.0 | 1612 | 2.1815 | 0.1922 | 0.0958 | 0.1646 | 0.1647 | 19.0 |
83
+ | 2.2758 | 27.0 | 1674 | 2.1795 | 0.1924 | 0.0962 | 0.1646 | 0.1647 | 19.0 |
84
+ | 2.2758 | 28.0 | 1736 | 2.1790 | 0.1922 | 0.0961 | 0.1646 | 0.1647 | 19.0 |
85
+ | 2.2758 | 29.0 | 1798 | 2.1784 | 0.1925 | 0.0963 | 0.1645 | 0.1646 | 19.0 |
86
+ | 2.2758 | 30.0 | 1860 | 2.1784 | 0.1921 | 0.0958 | 0.1642 | 0.1643 | 19.0 |
87
+
88
+
89
+ ### Framework versions
90
+
91
+ - Transformers 4.39.3
92
+ - Pytorch 2.1.2
93
+ - Datasets 2.18.0
94
+ - Tokenizers 0.15.2
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "decoder_start_token_id": 0,
3
+ "eos_token_id": 1,
4
+ "pad_token_id": 0,
5
+ "transformers_version": "4.39.3"
6
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6261b55d88edab929832879b312a417514bdcddb030980efdf0905d401c64688
3
  size 242041896
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d0c46c6663078879dfee3c54cae8e3f27386c3ffe962878ba41c415df6bcef7a
3
  size 242041896
runs/Apr21_19-48-17_c9af55bc8b8e/events.out.tfevents.1713728898.c9af55bc8b8e.34.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8b4aa644778be71c66f0d657a4f2f7174c75381a17925148f0ba321d96cfd59a
3
- size 18836
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b2c41affadb0e9deb7260c436f5e326398b635b692e4be4512829fd95862c93c
3
+ size 22340