Hugging Face's logo

duydatnguyen
/
vi-poem-gpt-neo

Text Generation
Transformers
Safetensors
gpt_neo
Generated from Trainer
Inference Endpoints
Model card Files Community
duydatnguyen commited on
Commit
60bae80
·
verified ·
1 Parent(s): 9b463f8

Completed Process

Browse files
Files changed (3) hide show
  1. README.md +119 -0
  2. generation_config.json +7 -0
  3. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,119 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: NlpHUST/gpt-neo-vi-small
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: vi_gpt_poem_
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # vi_gpt_poem_
14
+
15
+ This model is a fine-tuned version of [NlpHUST/gpt-neo-vi-small](https://huggingface.co/NlpHUST/gpt-neo-vi-small) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 1.1334
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 1e-05
37
+ - train_batch_size: 42
38
+ - eval_batch_size: 42
39
+ - seed: 42
40
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
+ - lr_scheduler_type: linear
42
+ - num_epochs: 250
43
+ - mixed_precision_training: Native AMP
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:--------:|:-----:|:---------------:|
49
+ | 6.8634 | 3.9683 | 500 | 6.1900 |
50
+ | 4.7999 | 7.9365 | 1000 | 3.4039 |
51
+ | 2.7473 | 11.9048 | 1500 | 2.5766 |
52
+ | 2.2513 | 15.8730 | 2000 | 2.2051 |
53
+ | 1.9426 | 19.8413 | 2500 | 1.9113 |
54
+ | 1.7059 | 23.8095 | 3000 | 1.6723 |
55
+ | 1.5333 | 27.7778 | 3500 | 1.5196 |
56
+ | 1.3996 | 31.7460 | 4000 | 1.4060 |
57
+ | 1.3066 | 35.7143 | 4500 | 1.3193 |
58
+ | 1.228 | 39.6825 | 5000 | 1.2513 |
59
+ | 1.1642 | 43.6508 | 5500 | 1.2000 |
60
+ | 1.1191 | 47.6190 | 6000 | 1.1607 |
61
+ | 1.0825 | 51.5873 | 6500 | 1.1295 |
62
+ | 1.0483 | 55.5556 | 7000 | 1.1036 |
63
+ | 1.0203 | 59.5238 | 7500 | 1.0818 |
64
+ | 0.9967 | 63.4921 | 8000 | 1.0631 |
65
+ | 0.9745 | 67.4603 | 8500 | 1.0471 |
66
+ | 0.9552 | 71.4286 | 9000 | 1.0332 |
67
+ | 0.9362 | 75.3968 | 9500 | 1.0208 |
68
+ | 0.9165 | 79.3651 | 10000 | 1.0098 |
69
+ | 0.8977 | 83.3333 | 10500 | 1.0002 |
70
+ | 0.8846 | 87.3016 | 11000 | 0.9915 |
71
+ | 0.8641 | 91.2698 | 11500 | 0.9838 |
72
+ | 0.8478 | 95.2381 | 12000 | 0.9779 |
73
+ | 0.8286 | 99.2063 | 12500 | 0.9721 |
74
+ | 0.811 | 103.1746 | 13000 | 0.9677 |
75
+ | 0.7916 | 107.1429 | 13500 | 0.9644 |
76
+ | 0.7721 | 111.1111 | 14000 | 0.9625 |
77
+ | 0.7513 | 115.0794 | 14500 | 0.9616 |
78
+ | 0.7292 | 119.0476 | 15000 | 0.9617 |
79
+ | 0.7066 | 123.0159 | 15500 | 0.9622 |
80
+ | 0.683 | 126.9841 | 16000 | 0.9639 |
81
+ | 0.6582 | 130.9524 | 16500 | 0.9661 |
82
+ | 0.632 | 134.9206 | 17000 | 0.9690 |
83
+ | 0.6047 | 138.8889 | 17500 | 0.9727 |
84
+ | 0.5769 | 142.8571 | 18000 | 0.9763 |
85
+ | 0.548 | 146.8254 | 18500 | 0.9802 |
86
+ | 0.5169 | 150.7937 | 19000 | 0.9844 |
87
+ | 0.4863 | 154.7619 | 19500 | 0.9887 |
88
+ | 0.4536 | 158.7302 | 20000 | 0.9936 |
89
+ | 0.4223 | 162.6984 | 20500 | 0.9975 |
90
+ | 0.3891 | 166.6667 | 21000 | 1.0022 |
91
+ | 0.3571 | 170.6349 | 21500 | 1.0071 |
92
+ | 0.3256 | 174.6032 | 22000 | 1.0118 |
93
+ | 0.2946 | 178.5714 | 22500 | 1.0164 |
94
+ | 0.2642 | 182.5397 | 23000 | 1.0221 |
95
+ | 0.2345 | 186.5079 | 23500 | 1.0271 |
96
+ | 0.2069 | 190.4762 | 24000 | 1.0331 |
97
+ | 0.1806 | 194.4444 | 24500 | 1.0393 |
98
+ | 0.1565 | 198.4127 | 25000 | 1.0462 |
99
+ | 0.1351 | 202.3810 | 25500 | 1.0527 |
100
+ | 0.1153 | 206.3492 | 26000 | 1.0605 |
101
+ | 0.0984 | 210.3175 | 26500 | 1.0679 |
102
+ | 0.0842 | 214.2857 | 27000 | 1.0758 |
103
+ | 0.0721 | 218.2540 | 27500 | 1.0827 |
104
+ | 0.0627 | 222.2222 | 28000 | 1.0906 |
105
+ | 0.0555 | 226.1905 | 28500 | 1.0978 |
106
+ | 0.0495 | 230.1587 | 29000 | 1.1043 |
107
+ | 0.045 | 234.1270 | 29500 | 1.1107 |
108
+ | 0.0412 | 238.0952 | 30000 | 1.1166 |
109
+ | 0.0382 | 242.0635 | 30500 | 1.1228 |
110
+ | 0.0356 | 246.0317 | 31000 | 1.1275 |
111
+ | 0.0335 | 250.0 | 31500 | 1.1334 |
112
+
113
+
114
+ ### Framework versions
115
+
116
+ - Transformers 4.40.0
117
+ - Pytorch 2.1.2
118
+ - Datasets 2.16.1
119
+ - Tokenizers 0.19.1
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "eos_token_id": 0,
5
+ "pad_token_id": 1,
6
+ "transformers_version": "4.40.0"
7
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b575ce487dd6a9b960263ffdc88148f14fe126ac92f4fa4863de3994d1323ebd
3
  size 533740104
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85c84ec338fe37e41e361eb8fcd6a31ef0946f81352bec5f91bcd595b894dc38
3
  size 533740104