giulio-massacci commited on
Commit
b6581bb
·
1 Parent(s): 8febf0d

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -8
README.md CHANGED
@@ -3,7 +3,7 @@ base_model: Musixmatch/umberto-commoncrawl-cased-v1
3
  tags:
4
  - generated_from_trainer
5
  metrics:
6
- - accuracy
7
  model-index:
8
  - name: my_awesome_model
9
  results: []
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.4474
20
- - Accuracy: 0.8373
21
 
22
  ## Model description
23
 
@@ -46,15 +46,15 @@ The following hyperparameters were used during training:
46
 
47
  ### Training results
48
 
49
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
- |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
- | No log | 1.0 | 127 | 0.4472 | 0.8373 |
52
- | No log | 2.0 | 254 | 0.4474 | 0.8373 |
53
 
54
 
55
  ### Framework versions
56
 
57
  - Transformers 4.31.0
58
  - Pytorch 2.0.1+cu118
59
- - Datasets 2.13.1
60
  - Tokenizers 0.13.3
 
3
  tags:
4
  - generated_from_trainer
5
  metrics:
6
+ - f1
7
  model-index:
8
  - name: my_awesome_model
9
  results: []
 
16
 
17
  This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.4588
20
+ - F1: 0.0
21
 
22
  ## Model description
23
 
 
46
 
47
  ### Training results
48
 
49
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
50
+ |:-------------:|:-----:|:----:|:---------------:|:---:|
51
+ | 0.4218 | 1.0 | 128 | 0.4305 | 0.0 |
52
+ | 0.409 | 2.0 | 256 | 0.4588 | 0.0 |
53
 
54
 
55
  ### Framework versions
56
 
57
  - Transformers 4.31.0
58
  - Pytorch 2.0.1+cu118
59
+ - Datasets 2.14.0
60
  - Tokenizers 0.13.3