Hugging Face's logo

wzChen
/
my_awesome_wnut_model

Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
wzChen commited on
Commit
06da7ad
•
1 Parent(s): 94231ca

End of training

Browse files
Files changed (3) hide show
  1. README.md +30 -12
  2. model.safetensors +1 -1
  3. runs/Mar17_13-54-37_46c7f6300639/events.out.tfevents.1710683678.46c7f6300639.34.3 +2 -2
README.md CHANGED
@@ -25,16 +25,16 @@ model-index:
25
  metrics:
26
  - name: Precision
27
  type: precision
28
- value: 0.5817555938037866
29
  - name: Recall
30
  type: recall
31
- value: 0.3132530120481928
32
  - name: F1
33
  type: f1
34
- value: 0.40722891566265057
35
  - name: Accuracy
36
  type: accuracy
37
- value: 0.9419434825360181
38
  ---
39
 
40
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
44
 
45
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the wnut_17 dataset.
46
  It achieves the following results on the evaluation set:
47
- - Loss: 0.2735
48
- - Precision: 0.5818
49
- - Recall: 0.3133
50
- - F1: 0.4072
51
- - Accuracy: 0.9419
52
 
53
  ## Model description
54
 
@@ -73,14 +73,32 @@ The following hyperparameters were used during training:
73
  - seed: 42
74
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
75
  - lr_scheduler_type: linear
76
- - num_epochs: 2
77
 
78
  ### Training results
79
 
80
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
81
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
82
- | No log | 1.0 | 213 | 0.2819 | 0.5 | 0.2502 | 0.3335 | 0.9385 |
83
- | No log | 2.0 | 426 | 0.2735 | 0.5818 | 0.3133 | 0.4072 | 0.9419 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
84
 
85
 
86
  ### Framework versions
 
25
  metrics:
26
  - name: Precision
27
  type: precision
28
+ value: 0.558252427184466
29
  - name: Recall
30
  type: recall
31
+ value: 0.4263206672845227
32
  - name: F1
33
  type: f1
34
+ value: 0.48344718864950076
35
  - name: Accuracy
36
  type: accuracy
37
+ value: 0.9477576845795391
38
  ---
39
 
40
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
44
 
45
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the wnut_17 dataset.
46
  It achieves the following results on the evaluation set:
47
+ - Loss: 0.4207
48
+ - Precision: 0.5583
49
+ - Recall: 0.4263
50
+ - F1: 0.4834
51
+ - Accuracy: 0.9478
52
 
53
  ## Model description
54
 
 
73
  - seed: 42
74
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
75
  - lr_scheduler_type: linear
76
+ - num_epochs: 20
77
 
78
  ### Training results
79
 
80
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
81
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
82
+ | No log | 1.0 | 213 | 0.3267 | 0.5351 | 0.4235 | 0.4728 | 0.9472 |
83
+ | No log | 2.0 | 426 | 0.3741 | 0.4730 | 0.3818 | 0.4226 | 0.9428 |
84
+ | 0.0126 | 3.0 | 639 | 0.3431 | 0.5336 | 0.4189 | 0.4694 | 0.9466 |
85
+ | 0.0126 | 4.0 | 852 | 0.3790 | 0.5983 | 0.3920 | 0.4737 | 0.9477 |
86
+ | 0.008 | 5.0 | 1065 | 0.3610 | 0.5289 | 0.4328 | 0.4760 | 0.9472 |
87
+ | 0.008 | 6.0 | 1278 | 0.3580 | 0.5637 | 0.4347 | 0.4908 | 0.9477 |
88
+ | 0.008 | 7.0 | 1491 | 0.3569 | 0.5339 | 0.4458 | 0.4859 | 0.9474 |
89
+ | 0.0049 | 8.0 | 1704 | 0.3988 | 0.5602 | 0.4013 | 0.4676 | 0.9470 |
90
+ | 0.0049 | 9.0 | 1917 | 0.4180 | 0.5901 | 0.3976 | 0.4751 | 0.9471 |
91
+ | 0.0032 | 10.0 | 2130 | 0.3969 | 0.5320 | 0.4161 | 0.4670 | 0.9468 |
92
+ | 0.0032 | 11.0 | 2343 | 0.4265 | 0.5851 | 0.4013 | 0.4761 | 0.9473 |
93
+ | 0.003 | 12.0 | 2556 | 0.4003 | 0.5569 | 0.4263 | 0.4829 | 0.9475 |
94
+ | 0.003 | 13.0 | 2769 | 0.4234 | 0.5936 | 0.3967 | 0.4756 | 0.9480 |
95
+ | 0.003 | 14.0 | 2982 | 0.4016 | 0.5482 | 0.4272 | 0.4802 | 0.9482 |
96
+ | 0.002 | 15.0 | 3195 | 0.4312 | 0.5655 | 0.4041 | 0.4714 | 0.9471 |
97
+ | 0.002 | 16.0 | 3408 | 0.4310 | 0.5611 | 0.4087 | 0.4729 | 0.9470 |
98
+ | 0.0014 | 17.0 | 3621 | 0.4287 | 0.5556 | 0.4124 | 0.4734 | 0.9471 |
99
+ | 0.0014 | 18.0 | 3834 | 0.4193 | 0.5572 | 0.4198 | 0.4789 | 0.9475 |
100
+ | 0.0014 | 19.0 | 4047 | 0.4188 | 0.5583 | 0.4263 | 0.4834 | 0.9478 |
101
+ | 0.0014 | 20.0 | 4260 | 0.4207 | 0.5583 | 0.4263 | 0.4834 | 0.9478 |
102
 
103
 
104
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fed0bdf9fbb21b1752fb9c0d944863ddf83a83ea953079dab95d5109a807b814
3
  size 265503852
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c173e32775409874857d2ab6d414803bea8edb5ce433dce508f757efa5be861c
3
  size 265503852
runs/Mar17_13-54-37_46c7f6300639/events.out.tfevents.1710683678.46c7f6300639.34.3 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a67b0997b8241c85efd1da4e9f8c14443040b8888c069d3187f36475e7bee320
3
- size 16260
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:28678090e8699e15c9b2e6aa1cecb71a12b5e9c9237c966a2c1cb1e527b73e7e
3
+ size 16614