Hugging Face's logo

josejointriple
/
results

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
josejointriple commited on
Commit
fc55c27
·
verified ·
1 Parent(s): 64b2276

jointriple/brand_classification_2_20240703_model_1__0_920995

Browse files
Files changed (4) hide show
  1. README.md +11 -14
  2. config.json +0 -0
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
- license: mit
3
- base_model: roberta-base
4
  tags:
5
  - generated_from_trainer
6
  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # results
17
 
18
- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.3028
21
- - Accuracy: 0.9288
22
 
23
  ## Model description
24
 
@@ -43,20 +43,17 @@ The following hyperparameters were used during training:
43
  - seed: 42
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
- - lr_scheduler_warmup_steps: 1000
47
- - num_epochs: 7
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
53
- | 5.8594 | 1.0 | 2371 | 5.3310 | 0.8132 |
54
- | 3.1041 | 2.0 | 4742 | 2.7193 | 0.8936 |
55
- | 1.9352 | 3.0 | 7113 | 1.3843 | 0.9116 |
56
- | 0.9755 | 4.0 | 9484 | 0.7382 | 0.9176 |
57
- | 0.537 | 5.0 | 11855 | 0.4559 | 0.9198 |
58
- | 0.5705 | 6.0 | 14226 | 0.3554 | 0.9236 |
59
- | 0.2824 | 7.0 | 16597 | 0.3028 | 0.9288 |
60
 
61
 
62
  ### Framework versions
 
1
  ---
2
+ license: apache-2.0
3
+ base_model: bert-base-uncased
4
  tags:
5
  - generated_from_trainer
6
  metrics:
 
15
 
16
  # results
17
 
18
+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.8920
21
+ - Accuracy: 0.9210
22
 
23
  ## Model description
24
 
 
43
  - seed: 42
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
+ - num_epochs: 5
 
47
 
48
  ### Training results
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
52
+ | 5.8623 | 1.0 | 2371 | 5.5613 | 0.5716 |
53
+ | 3.9844 | 2.0 | 4742 | 3.8082 | 0.8562 |
54
+ | 2.7326 | 3.0 | 7113 | 2.4057 | 0.9110 |
55
+ | 1.6646 | 4.0 | 9484 | 1.4718 | 0.9200 |
56
+ | 1.0158 | 5.0 | 11855 | 0.8920 | 0.9210 |
 
 
57
 
58
 
59
  ### Framework versions
config.json CHANGED
The diff for this file is too large to render. See raw diff
 
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2094f4135f79892f0b142cf7b392dc7f37a00be5444a7fc941c9bdd83deae718
3
- size 505023216
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9824a409a07d2f81035df86ce09c76a96baf03acfaf1deb39e0cba435122fc97
3
+ size 444369032
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:271d7a2b9f13f45967aac087fb6d36fb65cb899900c01193e090d0f923ecf37e
3
  size 4856
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d42a5c1e44a0eea4988ccdea35e6fd2a5385f5e22fed7ebf79b69753fac98f1
3
  size 4856