Hugging Face's logo

sfarrukh
/
distilbert-base-uncased-finetuned-emotion

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
sfarrukh commited on
Commit
962a46c
•
1 Parent(s): 288a1c9

Training completed!

Browse files
Files changed (2) hide show
  1. README.md +10 -14
  2. runs/Jul13_07-56-26_6d536e928978/events.out.tfevents.1720857423.6d536e928978.571.0 +2 -2
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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: 0.3068
21
- - Accuracy: 0.9085
22
- - F1 Score: 0.9086
23
 
24
  ## Model description
25
 
@@ -44,22 +44,18 @@ The following hyperparameters were used during training:
44
  - seed: 42
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
- - num_epochs: 10
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
53
- | 0.9641 | 1.0 | 250 | 0.6194 | 0.792 | 0.7819 |
54
- | 0.4398 | 2.0 | 500 | 0.3389 | 0.883 | 0.8825 |
55
- | 0.258 | 3.0 | 750 | 0.2948 | 0.8945 | 0.8951 |
56
- | 0.1744 | 4.0 | 1000 | 0.2841 | 0.9035 | 0.9038 |
57
- | 0.132 | 5.0 | 1250 | 0.2937 | 0.8985 | 0.8983 |
58
- | 0.1078 | 6.0 | 1500 | 0.2770 | 0.9055 | 0.9054 |
59
- | 0.0888 | 7.0 | 1750 | 0.3017 | 0.903 | 0.9028 |
60
- | 0.0739 | 8.0 | 2000 | 0.2829 | 0.9095 | 0.9096 |
61
- | 0.0611 | 9.0 | 2250 | 0.3062 | 0.91 | 0.9102 |
62
- | 0.0506 | 10.0 | 2500 | 0.3068 | 0.9085 | 0.9086 |
63
 
64
 
65
  ### Framework versions
 
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: 0.2905
21
+ - Accuracy: 0.896
22
+ - F1 Score: 0.8962
23
 
24
  ## Model description
25
 
 
44
  - seed: 42
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
+ - num_epochs: 6
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
53
+ | 1.5116 | 1.0 | 250 | 1.2809 | 0.5315 | 0.4734 |
54
+ | 0.8731 | 2.0 | 500 | 0.5533 | 0.834 | 0.8273 |
55
+ | 0.4323 | 3.0 | 750 | 0.3940 | 0.863 | 0.8623 |
56
+ | 0.2737 | 4.0 | 1000 | 0.3179 | 0.89 | 0.8900 |
57
+ | 0.2098 | 5.0 | 1250 | 0.2963 | 0.8935 | 0.8932 |
58
+ | 0.1734 | 6.0 | 1500 | 0.2905 | 0.896 | 0.8962 |
 
 
 
 
59
 
60
 
61
  ### Framework versions
runs/Jul13_07-56-26_6d536e928978/events.out.tfevents.1720857423.6d536e928978.571.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9587264cbe5d22e7ac1eeed96db03af66bb6909280b670f893ff1929b78e7312
3
- size 8171
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a339776d739c577e63ff80f1167bf605ab0daf6ad45b72c1312539d72d6fbde7
3
+ size 8900