Hugging Face's logo

Schnatz65
/
distilbert-base-uncased-distilled-clinc

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
Schnatz65 commited on
Commit
70df22a
•
1 Parent(s): 4e4aae3

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +13 -14
README.md CHANGED
@@ -19,7 +19,7 @@ model-index:
19
  metrics:
20
  - name: Accuracy
21
  type: accuracy
22
- value: 0.9454838709677419
23
  ---
24
 
25
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
29
 
30
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
31
  It achieves the following results on the evaluation set:
32
- - Loss: 0.1925
33
- - Accuracy: 0.9455
34
 
35
  ## Model description
36
 
@@ -55,22 +55,21 @@ The following hyperparameters were used during training:
55
  - seed: 42
56
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
57
  - lr_scheduler_type: linear
58
- - num_epochs: 10
59
 
60
  ### Training results
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
63
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
64
- | 1.8734 | 1.0 | 318 | 1.3563 | 0.7461 |
65
- | 1.064 | 2.0 | 636 | 0.7206 | 0.8694 |
66
- | 0.5836 | 3.0 | 954 | 0.4180 | 0.9213 |
67
- | 0.3511 | 4.0 | 1272 | 0.2867 | 0.9384 |
68
- | 0.2452 | 5.0 | 1590 | 0.2357 | 0.9429 |
69
- | 0.1966 | 6.0 | 1908 | 0.2147 | 0.9432 |
70
- | 0.1729 | 7.0 | 2226 | 0.2031 | 0.9426 |
71
- | 0.1602 | 8.0 | 2544 | 0.1964 | 0.9445 |
72
- | 0.1531 | 9.0 | 2862 | 0.1943 | 0.9442 |
73
- | 0.1492 | 10.0 | 3180 | 0.1925 | 0.9455 |
74
 
75
 
76
  ### Framework versions
 
19
  metrics:
20
  - name: Accuracy
21
  type: accuracy
22
+ value: 0.9290322580645162
23
  ---
24
 
25
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
29
 
30
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
31
  It achieves the following results on the evaluation set:
32
+ - Loss: 0.0426
33
+ - Accuracy: 0.9290
34
 
35
  ## Model description
36
 
 
55
  - seed: 42
56
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
57
  - lr_scheduler_type: linear
58
+ - num_epochs: 9
59
 
60
  ### Training results
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
63
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
64
+ | 0.83 | 1.0 | 318 | 0.4315 | 0.6626 |
65
+ | 0.328 | 2.0 | 636 | 0.1565 | 0.8494 |
66
+ | 0.1544 | 3.0 | 954 | 0.0834 | 0.9016 |
67
+ | 0.1005 | 4.0 | 1272 | 0.0607 | 0.9197 |
68
+ | 0.0794 | 5.0 | 1590 | 0.0518 | 0.9248 |
69
+ | 0.0693 | 6.0 | 1908 | 0.0470 | 0.9271 |
70
+ | 0.0635 | 7.0 | 2226 | 0.0447 | 0.9277 |
71
+ | 0.0602 | 8.0 | 2544 | 0.0430 | 0.9306 |
72
+ | 0.0584 | 9.0 | 2862 | 0.0426 | 0.9290 |
 
73
 
74
 
75
  ### Framework versions