jkhan447 commited on
Commit
2e63119
1 Parent(s): d522340

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -7
README.md CHANGED
@@ -19,7 +19,7 @@ model-index:
19
  metrics:
20
  - name: Accuracy
21
  type: accuracy
22
- value: 0.5773420479302832
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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the go_emotions dataset.
31
  It achieves the following results on the evaluation set:
32
- - Loss: 2.6719
33
- - Accuracy: 0.5773
34
 
35
  ## Model description
36
 
@@ -50,12 +50,12 @@ More information needed
50
 
51
  The following hyperparameters were used during training:
52
  - learning_rate: 2e-05
53
- - train_batch_size: 16
54
- - eval_batch_size: 16
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
 
@@ -66,4 +66,4 @@ The following hyperparameters were used during training:
66
  - Transformers 4.17.0
67
  - Pytorch 1.10.0+cu111
68
  - Datasets 2.0.0
69
- - Tokenizers 0.11.6
 
19
  metrics:
20
  - name: Accuracy
21
  type: accuracy
22
+ value: 0.5888888888888889
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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the go_emotions dataset.
31
  It achieves the following results on the evaluation set:
32
+ - Loss: 4.1765
33
+ - Accuracy: 0.5889
34
 
35
  ## Model description
36
 
 
50
 
51
  The following hyperparameters were used during training:
52
  - learning_rate: 2e-05
53
+ - train_batch_size: 32
54
+ - eval_batch_size: 32
55
  - seed: 42
56
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
57
  - lr_scheduler_type: linear
58
+ - num_epochs: 50
59
 
60
  ### Training results
61
 
 
66
  - Transformers 4.17.0
67
  - Pytorch 1.10.0+cu111
68
  - Datasets 2.0.0
69
+ - Tokenizers 0.12.0