Hugging Face's logo

Brecon
/
bert_seq_training_model

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
Brecon commited on
Commit
d204eed
•
1 Parent(s): 63a7adb

End of training

Browse files
Files changed (1) hide show
  1. README.md +6 -8
README.md CHANGED
@@ -5,7 +5,6 @@ tags:
5
  - generated_from_trainer
6
  metrics:
7
  - accuracy
8
- - f1
9
  model-index:
10
  - name: bert_seq_training_model
11
  results: []
@@ -18,9 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.9793
22
- - Accuracy: 0.3548
23
- - F1: 0.3548
24
 
25
  ## Model description
26
 
@@ -49,10 +47,10 @@ The following hyperparameters were used during training:
49
 
50
  ### Training results
51
 
52
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
53
- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
54
- | No log | 1.0 | 8 | 1.0240 | 0.3548 | 0.3548 |
55
- | No log | 2.0 | 16 | 0.9793 | 0.3548 | 0.3548 |
56
 
57
 
58
  ### Framework versions
 
5
  - generated_from_trainer
6
  metrics:
7
  - accuracy
 
8
  model-index:
9
  - name: bert_seq_training_model
10
  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: 0.8982
21
+ - Accuracy: 0.3871
 
22
 
23
  ## Model description
24
 
 
47
 
48
  ### Training results
49
 
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 8 | 0.9433 | 0.3548 |
53
+ | No log | 2.0 | 16 | 0.8982 | 0.3871 |
54
 
55
 
56
  ### Framework versions