odunola commited on
Commit
9a33bc1
·
1 Parent(s): 08bc16f
Files changed (2) hide show
  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  license: apache-2.0
3
- base_model: odunola/bert-based_uncased-finetuned-binary_hate_speech
4
  tags:
5
  - generated_from_trainer
6
  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  # bert-based_uncased-finetuned-binary_hate_speech
20
 
21
- This model is a fine-tuned version of [odunola/bert-based_uncased-finetuned-binary_hate_speech](https://huggingface.co/odunola/bert-based_uncased-finetuned-binary_hate_speech) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.8676
24
- - Accuracy: 0.8246
25
- - F1: 0.8326
26
- - Precision: 0.7961
27
- - Recall: 0.8727
28
 
29
  ## Model description
30
 
@@ -43,7 +43,7 @@ More information needed
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
- - learning_rate: 2e-05
47
  - train_batch_size: 16
48
  - eval_batch_size: 16
49
  - seed: 42
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
58
- | 0.259 | 1.0 | 1941 | 0.5296 | 0.8213 | 0.8269 | 0.8014 | 0.8542 |
59
- | 0.1841 | 2.0 | 3882 | 0.6760 | 0.8303 | 0.8402 | 0.7938 | 0.8923 |
60
- | 0.1218 | 3.0 | 5823 | 0.8676 | 0.8246 | 0.8326 | 0.7961 | 0.8727 |
61
 
62
 
63
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
  tags:
5
  - generated_from_trainer
6
  metrics:
 
18
 
19
  # bert-based_uncased-finetuned-binary_hate_speech
20
 
21
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.4500
24
+ - Accuracy: 0.8179
25
+ - F1: 0.8255
26
+ - Precision: 0.7924
27
+ - Recall: 0.8614
28
 
29
  ## Model description
30
 
 
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
+ - learning_rate: 1e-05
47
  - train_batch_size: 16
48
  - eval_batch_size: 16
49
  - seed: 42
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
58
+ | 0.4844 | 1.0 | 1941 | 0.4541 | 0.8002 | 0.8043 | 0.7877 | 0.8217 |
59
+ | 0.3952 | 2.0 | 3882 | 0.4360 | 0.8138 | 0.8184 | 0.7985 | 0.8393 |
60
+ | 0.3438 | 3.0 | 5823 | 0.4500 | 0.8179 | 0.8255 | 0.7924 | 0.8614 |
61
 
62
 
63
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:49a28b8b34b40838d57b9d598dda031303d3c55afd77b435e6ce6c76f1924835
3
  size 267855533
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59803511f277d36eb38ce605532a9c0cd306dcb9b6d0e8ff1aa30053da552b9e
3
  size 267855533