Hugging Face's logo

tvganesh
/
test_trainer1

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
tvganesh commited on
Commit
36fa937
•
1 Parent(s): 354104e

End of training

Browse files
Files changed (3) hide show
  1. README.md +103 -0
  2. generation_config.json +6 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,103 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: t5-small
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ model-index:
9
+ - name: test_trainer1
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
+ # test_trainer1
17
+
18
+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.0000
21
+ - Rouge1: 0.8111
22
+ - Rouge2: 0.8008
23
+ - Rougel: 0.812
24
+ - Rougelsum: 0.8109
25
+ - Gen Len: 18.5
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: 0.0056
45
+ - train_batch_size: 8
46
+ - eval_batch_size: 8
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-06
49
+ - lr_scheduler_type: linear
50
+ - num_epochs: 40
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
56
+ | No log | 1.0 | 13 | 0.3042 | 0.7518 | 0.7064 | 0.7515 | 0.7499 | 18.2 |
57
+ | No log | 2.0 | 26 | 0.0621 | 0.7853 | 0.7648 | 0.7778 | 0.778 | 18.4667 |
58
+ | No log | 3.0 | 39 | 0.0600 | 0.7809 | 0.7539 | 0.7793 | 0.7794 | 18.3333 |
59
+ | No log | 4.0 | 52 | 0.0293 | 0.8073 | 0.7961 | 0.8076 | 0.8069 | 18.4 |
60
+ | No log | 5.0 | 65 | 0.0304 | 0.8053 | 0.7881 | 0.803 | 0.8027 | 18.4667 |
61
+ | No log | 6.0 | 78 | 0.0167 | 0.7787 | 0.7634 | 0.7794 | 0.7792 | 18.7 |
62
+ | No log | 7.0 | 91 | 0.0203 | 0.8076 | 0.7952 | 0.8083 | 0.8072 | 18.5333 |
63
+ | No log | 8.0 | 104 | 0.0418 | 0.7722 | 0.7493 | 0.7711 | 0.7695 | 18.7667 |
64
+ | No log | 9.0 | 117 | 0.0153 | 0.799 | 0.7804 | 0.7969 | 0.7964 | 18.4 |
65
+ | No log | 10.0 | 130 | 0.0225 | 0.7963 | 0.7804 | 0.7968 | 0.7952 | 18.5 |
66
+ | No log | 11.0 | 143 | 0.0119 | 0.7832 | 0.7676 | 0.784 | 0.7837 | 18.5 |
67
+ | No log | 12.0 | 156 | 0.0118 | 0.8023 | 0.7863 | 0.8024 | 0.8011 | 18.5 |
68
+ | No log | 13.0 | 169 | 0.0411 | 0.8019 | 0.7916 | 0.8034 | 0.8025 | 18.2667 |
69
+ | No log | 14.0 | 182 | 0.0048 | 0.8017 | 0.791 | 0.8029 | 0.8022 | 18.5 |
70
+ | No log | 15.0 | 195 | 0.0038 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
71
+ | No log | 16.0 | 208 | 0.0080 | 0.8091 | 0.7967 | 0.8093 | 0.8086 | 18.5 |
72
+ | No log | 17.0 | 221 | 0.0046 | 0.8092 | 0.7967 | 0.8103 | 0.8095 | 18.5 |
73
+ | No log | 18.0 | 234 | 0.0023 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
74
+ | No log | 19.0 | 247 | 0.0097 | 0.8105 | 0.799 | 0.8116 | 0.8105 | 18.5 |
75
+ | No log | 20.0 | 260 | 0.0024 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
76
+ | No log | 21.0 | 273 | 0.0018 | 0.8111 | 0.7995 | 0.812 | 0.8109 | 18.5 |
77
+ | No log | 22.0 | 286 | 0.0030 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
78
+ | No log | 23.0 | 299 | 0.0042 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
79
+ | No log | 24.0 | 312 | 0.0065 | 0.8102 | 0.8 | 0.8114 | 0.8099 | 18.5 |
80
+ | No log | 25.0 | 325 | 0.0004 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
81
+ | No log | 26.0 | 338 | 0.0001 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
82
+ | No log | 27.0 | 351 | 0.0001 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
83
+ | No log | 28.0 | 364 | 0.0010 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
84
+ | No log | 29.0 | 377 | 0.0002 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
85
+ | No log | 30.0 | 390 | 0.0001 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
86
+ | No log | 31.0 | 403 | 0.0020 | 0.8093 | 0.7975 | 0.8103 | 0.8089 | 18.5 |
87
+ | No log | 32.0 | 416 | 0.0014 | 0.8093 | 0.7975 | 0.8103 | 0.8089 | 18.5 |
88
+ | No log | 33.0 | 429 | 0.0001 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
89
+ | No log | 34.0 | 442 | 0.0000 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
90
+ | No log | 35.0 | 455 | 0.0000 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
91
+ | No log | 36.0 | 468 | 0.0000 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
92
+ | No log | 37.0 | 481 | 0.0000 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
93
+ | No log | 38.0 | 494 | 0.0000 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
94
+ | 0.068 | 39.0 | 507 | 0.0000 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
95
+ | 0.068 | 40.0 | 520 | 0.0000 | 0.8111 | 0.8008 | 0.812 | 0.8109 | 18.5 |
96
+
97
+
98
+ ### Framework versions
99
+
100
+ - Transformers 4.33.2
101
+ - Pytorch 2.0.0
102
+ - Datasets 2.14.5
103
+ - Tokenizers 0.13.3
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": "4.33.2"
6
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ca9d87e16ade321239482ce812e532c6ee71f404af5b8012a7d636d378dee1ff
3
  size 242071641
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a52ade1a70940c10575ca8d4c6be3877308aa36260208bd67a5d031d29e98a1c
3
  size 242071641