Hugging Face's logo

Romain1311
/
Distilbert-finetuned-w-teacher

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
Romain1311 commited on
Commit
6c22d97
•
1 Parent(s): 3d40692

Training completed

Browse files
Files changed (2) hide show
  1. README.md +13 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,5 +1,6 @@
1
  ---
2
- base_model: transformersbook/bert-base-uncased-finetuned-clinc
 
3
  tags:
4
  - generated_from_trainer
5
  metrics:
@@ -14,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # Distilbert-finetuned-w-teacher
16
 
17
- This model is a fine-tuned version of [transformersbook/bert-base-uncased-finetuned-clinc](https://huggingface.co/transformersbook/bert-base-uncased-finetuned-clinc) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.0063
20
- - Accuracy: 0.9503
21
 
22
  ## Model description
23
 
@@ -48,14 +49,14 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
- | No log | 1.0 | 318 | 0.0101 | 0.9448 |
52
- | 0.0266 | 2.0 | 636 | 0.0086 | 0.9465 |
53
- | 0.0266 | 3.0 | 954 | 0.0077 | 0.9487 |
54
- | 0.0212 | 4.0 | 1272 | 0.0073 | 0.9481 |
55
- | 0.0187 | 5.0 | 1590 | 0.0067 | 0.9484 |
56
- | 0.0187 | 6.0 | 1908 | 0.0066 | 0.9484 |
57
- | 0.0175 | 7.0 | 2226 | 0.0066 | 0.95 |
58
- | 0.0165 | 8.0 | 2544 | 0.0063 | 0.9503 |
59
 
60
 
61
  ### Framework versions
 
1
  ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
  tags:
5
  - generated_from_trainer
6
  metrics:
 
15
 
16
  # Distilbert-finetuned-w-teacher
17
 
18
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0372
21
+ - Accuracy: 0.9319
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 318 | 0.4101 | 0.67 |
53
+ | 0.6452 | 2.0 | 636 | 0.1427 | 0.8442 |
54
+ | 0.6452 | 3.0 | 954 | 0.0757 | 0.8965 |
55
+ | 0.1678 | 4.0 | 1272 | 0.0545 | 0.9129 |
56
+ | 0.0852 | 5.0 | 1590 | 0.0446 | 0.9242 |
57
+ | 0.0852 | 6.0 | 1908 | 0.0401 | 0.9274 |
58
+ | 0.0652 | 7.0 | 2226 | 0.0384 | 0.9313 |
59
+ | 0.0581 | 8.0 | 2544 | 0.0372 | 0.9319 |
60
 
61
 
62
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7855ea77d614a5f7ef3be9762d84f41227d42de390ca2a9cd64a0c0244c04975
3
  size 268290900
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0b640a6ee0cda79e13a0671c4017504d376bf2606f2d5477cebad93267b6037
3
  size 268290900