Jorge Lopez Grisman
commited on
Commit
•
c001272
1
Parent(s):
2d3f7e8
End of training
Browse files- README.md +78 -0
- pytorch_model.bin +1 -1
README.md
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
license: apache-2.0
|
5 |
+
datasets:
|
6 |
+
- conll2003
|
7 |
+
metrics:
|
8 |
+
- precision
|
9 |
+
- recall
|
10 |
+
- f1
|
11 |
+
- accuracy
|
12 |
+
model-index:
|
13 |
+
- name: bert-large-uncased
|
14 |
+
results:
|
15 |
+
- task:
|
16 |
+
name: Token Classification
|
17 |
+
type: token-classification
|
18 |
+
dataset:
|
19 |
+
name: conll2003
|
20 |
+
type: conll2003
|
21 |
+
args: default
|
22 |
+
metrics:
|
23 |
+
- name: precision
|
24 |
+
type: precision
|
25 |
+
value: 0.9504719600222099
|
26 |
+
- name: recall
|
27 |
+
type: recall
|
28 |
+
value: 0.9574896520863632
|
29 |
+
- name: f1
|
30 |
+
type: f1
|
31 |
+
value: 0.9539679001337494
|
32 |
+
- name: accuracy
|
33 |
+
type: accuracy
|
34 |
+
value: 0.9885618059637473
|
35 |
+
---
|
36 |
+
|
37 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
38 |
+
should probably proofread and complete it, then remove this comment. -->
|
39 |
+
|
40 |
+
# bert-large-uncased
|
41 |
+
|
42 |
+
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the conll2003 dataset.
|
43 |
+
It achieves the following results on the evaluation set:
|
44 |
+
- precision: 0.9505
|
45 |
+
- recall: 0.9575
|
46 |
+
- f1: 0.9540
|
47 |
+
- accuracy: 0.9886
|
48 |
+
|
49 |
+
## Model description
|
50 |
+
|
51 |
+
More information needed
|
52 |
+
|
53 |
+
## Intended uses & limitations
|
54 |
+
|
55 |
+
More information needed
|
56 |
+
|
57 |
+
## Training and evaluation data
|
58 |
+
|
59 |
+
More information needed
|
60 |
+
|
61 |
+
## Training procedure
|
62 |
+
|
63 |
+
### Training hyperparameters
|
64 |
+
|
65 |
+
The following hyperparameters were used during training:
|
66 |
+
- num_train_epochs: 10
|
67 |
+
- train_batch_size: 4
|
68 |
+
- learning_rate: 2e-05
|
69 |
+
- weight_decay_rate: 0.01
|
70 |
+
- num_warmup_steps: 0
|
71 |
+
- fp16: True
|
72 |
+
|
73 |
+
### Framework versions
|
74 |
+
|
75 |
+
- Transformers 4.16.2
|
76 |
+
- Pytorch 1.8.1+cu111
|
77 |
+
- Datasets 1.18.3
|
78 |
+
- Tokenizers 0.11.0
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1336576311
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ead05787b3fc747f65ce89ef226dd4018f6ac87fa5292f52fa28cc2b3c734a8f
|
3 |
size 1336576311
|