Hugging Face's logo

EricPeter
/
distilbert-base-cased-distilled-squad-finetuned-squad

Question Answering
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
1
EricPeter commited on
Commit
3c19387
•
1 Parent(s): 9071829

Model save

Browse files
Files changed (2) hide show
  1. README.md +86 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-cased-distilled-squad
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: distilbert-base-cased-distilled-squad-finetuned-squad
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # distilbert-base-cased-distilled-squad-finetuned-squad
15
+
16
+ This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 5.3012
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 2e-05
38
+ - train_batch_size: 16
39
+ - eval_batch_size: 16
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 30
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:-----:|:----:|:---------------:|
49
+ | No log | 1.0 | 66 | 2.4569 |
50
+ | No log | 2.0 | 132 | 2.3201 |
51
+ | No log | 3.0 | 198 | 2.3281 |
52
+ | No log | 4.0 | 264 | 2.3895 |
53
+ | No log | 5.0 | 330 | 2.7032 |
54
+ | No log | 6.0 | 396 | 2.9461 |
55
+ | No log | 7.0 | 462 | 3.2856 |
56
+ | 1.4273 | 8.0 | 528 | 3.4643 |
57
+ | 1.4273 | 9.0 | 594 | 3.7349 |
58
+ | 1.4273 | 10.0 | 660 | 4.1377 |
59
+ | 1.4273 | 11.0 | 726 | 4.2097 |
60
+ | 1.4273 | 12.0 | 792 | 4.3009 |
61
+ | 1.4273 | 13.0 | 858 | 4.4249 |
62
+ | 1.4273 | 14.0 | 924 | 4.5736 |
63
+ | 1.4273 | 15.0 | 990 | 4.7452 |
64
+ | 0.222 | 16.0 | 1056 | 4.8124 |
65
+ | 0.222 | 17.0 | 1122 | 4.8169 |
66
+ | 0.222 | 18.0 | 1188 | 5.1680 |
67
+ | 0.222 | 19.0 | 1254 | 5.0830 |
68
+ | 0.222 | 20.0 | 1320 | 5.1588 |
69
+ | 0.222 | 21.0 | 1386 | 5.1933 |
70
+ | 0.222 | 22.0 | 1452 | 5.2828 |
71
+ | 0.0343 | 23.0 | 1518 | 5.2054 |
72
+ | 0.0343 | 24.0 | 1584 | 5.2622 |
73
+ | 0.0343 | 25.0 | 1650 | 5.2089 |
74
+ | 0.0343 | 26.0 | 1716 | 5.2026 |
75
+ | 0.0343 | 27.0 | 1782 | 5.3382 |
76
+ | 0.0343 | 28.0 | 1848 | 5.2926 |
77
+ | 0.0343 | 29.0 | 1914 | 5.3003 |
78
+ | 0.0343 | 30.0 | 1980 | 5.3012 |
79
+
80
+
81
+ ### Framework versions
82
+
83
+ - Transformers 4.33.0
84
+ - Pytorch 2.0.1+cu118
85
+ - Datasets 2.14.4
86
+ - Tokenizers 0.13.3
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:708e97c655f942b70b9f0353a8aa0d596814da9ca1f5267358b1cda3487e1f13
3
  size 260804645
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d051b864c51851b2cb40dcab4a9bf0ab530aa607cdfb0c986222ccef91f47e0c
3
  size 260804645