End of training
Browse files
README.md
ADDED
@@ -0,0 +1,114 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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: text_summarization-finetuned-stocknews
|
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 |
+
# text_summarization-finetuned-stocknews
|
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: 1.5087
|
21 |
+
- Rouge1: 28.1323
|
22 |
+
- Rouge2: 14.1505
|
23 |
+
- Rougel: 23.7163
|
24 |
+
- Rougelsum: 24.743
|
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: 50
|
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 | 25 | 1.8901 | 26.1517 | 11.6615 | 21.4583 | 22.9556 | 19.0 |
|
58 |
+
| No log | 2.0 | 50 | 1.7909 | 25.9481 | 11.4621 | 21.1748 | 22.8127 | 19.0 |
|
59 |
+
| No log | 3.0 | 75 | 1.7388 | 26.412 | 12.1797 | 21.744 | 23.3289 | 19.0 |
|
60 |
+
| No log | 4.0 | 100 | 1.6988 | 26.4465 | 12.2417 | 21.7109 | 23.2402 | 19.0 |
|
61 |
+
| No log | 5.0 | 125 | 1.6752 | 26.6441 | 12.4313 | 21.7396 | 23.2725 | 19.0 |
|
62 |
+
| No log | 6.0 | 150 | 1.6531 | 26.4585 | 12.2979 | 21.7528 | 23.1338 | 19.0 |
|
63 |
+
| No log | 7.0 | 175 | 1.6386 | 26.6186 | 12.4271 | 21.8074 | 23.2756 | 19.0 |
|
64 |
+
| No log | 8.0 | 200 | 1.6263 | 26.4223 | 12.3512 | 21.7575 | 23.3278 | 19.0 |
|
65 |
+
| No log | 9.0 | 225 | 1.6124 | 26.5846 | 12.49 | 21.9218 | 23.433 | 19.0 |
|
66 |
+
| No log | 10.0 | 250 | 1.6035 | 26.8364 | 12.6954 | 22.2409 | 23.6239 | 19.0 |
|
67 |
+
| No log | 11.0 | 275 | 1.5926 | 27.0986 | 12.7881 | 22.2246 | 23.6203 | 19.0 |
|
68 |
+
| No log | 12.0 | 300 | 1.5844 | 27.4875 | 13.1342 | 22.717 | 24.0836 | 19.0 |
|
69 |
+
| No log | 13.0 | 325 | 1.5757 | 27.6863 | 13.2919 | 22.8203 | 24.1659 | 19.0 |
|
70 |
+
| No log | 14.0 | 350 | 1.5688 | 27.69 | 13.295 | 22.8364 | 24.2587 | 19.0 |
|
71 |
+
| No log | 15.0 | 375 | 1.5643 | 27.7651 | 13.5588 | 23.01 | 24.5047 | 19.0 |
|
72 |
+
| No log | 16.0 | 400 | 1.5586 | 27.8662 | 13.8812 | 23.1299 | 24.5692 | 19.0 |
|
73 |
+
| No log | 17.0 | 425 | 1.5525 | 27.5329 | 13.5729 | 22.8646 | 24.2491 | 19.0 |
|
74 |
+
| No log | 18.0 | 450 | 1.5466 | 27.2864 | 13.6465 | 22.754 | 24.0451 | 19.0 |
|
75 |
+
| No log | 19.0 | 475 | 1.5434 | 27.3062 | 13.664 | 22.7509 | 24.015 | 19.0 |
|
76 |
+
| 1.7497 | 20.0 | 500 | 1.5401 | 27.3177 | 13.8162 | 22.8012 | 24.0359 | 19.0 |
|
77 |
+
| 1.7497 | 21.0 | 525 | 1.5369 | 27.4956 | 13.9869 | 23.0248 | 24.2922 | 19.0 |
|
78 |
+
| 1.7497 | 22.0 | 550 | 1.5345 | 27.4794 | 13.7914 | 23.0306 | 24.2942 | 19.0 |
|
79 |
+
| 1.7497 | 23.0 | 575 | 1.5324 | 27.4794 | 13.7914 | 23.0306 | 24.2942 | 19.0 |
|
80 |
+
| 1.7497 | 24.0 | 600 | 1.5302 | 27.529 | 13.8756 | 23.1045 | 24.3861 | 19.0 |
|
81 |
+
| 1.7497 | 25.0 | 625 | 1.5266 | 27.8738 | 14.0877 | 23.4826 | 24.7471 | 19.0 |
|
82 |
+
| 1.7497 | 26.0 | 650 | 1.5252 | 27.9294 | 13.9793 | 23.4775 | 24.669 | 19.0 |
|
83 |
+
| 1.7497 | 27.0 | 675 | 1.5247 | 28.0046 | 14.0835 | 23.4865 | 24.7035 | 19.0 |
|
84 |
+
| 1.7497 | 28.0 | 700 | 1.5239 | 28.0085 | 14.1428 | 23.6155 | 24.8178 | 19.0 |
|
85 |
+
| 1.7497 | 29.0 | 725 | 1.5224 | 27.9738 | 14.1251 | 23.6146 | 24.7919 | 19.0 |
|
86 |
+
| 1.7497 | 30.0 | 750 | 1.5200 | 28.007 | 14.1042 | 23.653 | 24.7639 | 19.0 |
|
87 |
+
| 1.7497 | 31.0 | 775 | 1.5192 | 27.9376 | 14.0443 | 23.5673 | 24.6209 | 19.0 |
|
88 |
+
| 1.7497 | 32.0 | 800 | 1.5177 | 28.0251 | 14.0888 | 23.6316 | 24.6779 | 19.0 |
|
89 |
+
| 1.7497 | 33.0 | 825 | 1.5165 | 28.0519 | 14.0867 | 23.6242 | 24.6728 | 19.0 |
|
90 |
+
| 1.7497 | 34.0 | 850 | 1.5164 | 28.1185 | 14.1615 | 23.6657 | 24.7177 | 19.0 |
|
91 |
+
| 1.7497 | 35.0 | 875 | 1.5146 | 28.0809 | 14.1228 | 23.6657 | 24.7177 | 19.0 |
|
92 |
+
| 1.7497 | 36.0 | 900 | 1.5134 | 28.1107 | 14.1889 | 23.6946 | 24.7532 | 19.0 |
|
93 |
+
| 1.7497 | 37.0 | 925 | 1.5130 | 28.0476 | 14.0937 | 23.6232 | 24.6671 | 19.0 |
|
94 |
+
| 1.7497 | 38.0 | 950 | 1.5123 | 27.9979 | 14.0209 | 23.5935 | 24.6298 | 19.0 |
|
95 |
+
| 1.7497 | 39.0 | 975 | 1.5114 | 28.001 | 14.1042 | 23.6265 | 24.6735 | 19.0 |
|
96 |
+
| 1.5033 | 40.0 | 1000 | 1.5100 | 28.004 | 14.1355 | 23.6552 | 24.6776 | 19.0 |
|
97 |
+
| 1.5033 | 41.0 | 1025 | 1.5100 | 28.0346 | 14.1432 | 23.6432 | 24.7052 | 19.0 |
|
98 |
+
| 1.5033 | 42.0 | 1050 | 1.5098 | 28.052 | 14.1387 | 23.6401 | 24.6953 | 19.0 |
|
99 |
+
| 1.5033 | 43.0 | 1075 | 1.5098 | 28.1032 | 14.1743 | 23.6401 | 24.6953 | 19.0 |
|
100 |
+
| 1.5033 | 44.0 | 1100 | 1.5096 | 28.129 | 14.1847 | 23.7406 | 24.805 | 19.0 |
|
101 |
+
| 1.5033 | 45.0 | 1125 | 1.5093 | 28.1763 | 14.2264 | 23.7075 | 24.783 | 19.0 |
|
102 |
+
| 1.5033 | 46.0 | 1150 | 1.5090 | 28.1336 | 14.1871 | 23.7075 | 24.783 | 19.0 |
|
103 |
+
| 1.5033 | 47.0 | 1175 | 1.5089 | 28.1336 | 14.1871 | 23.7075 | 24.783 | 19.0 |
|
104 |
+
| 1.5033 | 48.0 | 1200 | 1.5088 | 28.1336 | 14.1871 | 23.7075 | 24.783 | 19.0 |
|
105 |
+
| 1.5033 | 49.0 | 1225 | 1.5087 | 28.129 | 14.1847 | 23.7406 | 24.805 | 19.0 |
|
106 |
+
| 1.5033 | 50.0 | 1250 | 1.5087 | 28.1323 | 14.1505 | 23.7163 | 24.743 | 19.0 |
|
107 |
+
|
108 |
+
|
109 |
+
### Framework versions
|
110 |
+
|
111 |
+
- Transformers 4.38.1
|
112 |
+
- Pytorch 2.1.2
|
113 |
+
- Datasets 2.1.0
|
114 |
+
- 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": "4.38.1"
|
6 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 242041896
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e9fcd7cb4bb4fbc0d95503745514c8a49c242062ff74738c5d975367dd375b51
|
3 |
size 242041896
|
runs/Mar05_04-22-58_f79ab5cc3ca3/events.out.tfevents.1709612612.f79ab5cc3ca3.34.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4aeff565dfaedb78d9da8e9a212914961d9c3970fef3f752662c121f64d0dff3
|
3 |
+
size 32646
|