Hugging Face's logo

jonasknobloch
/
gpt2-morf_u0-30-50-x_cx-en_00000-00009_50k

Text Generation
Transformers
Safetensors
English
gpt2
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
jonasknobloch commited on
Commit
30a7cf9
·
1 Parent(s): b4320f3

Rename model

Browse files
Files changed (1) hide show
  1. README.md +47 -46
README.md CHANGED
@@ -1,33 +1,34 @@
1
  ---
2
  tags:
3
- - generated_from_trainer
4
  datasets:
5
- - uonlp/CulturaX
6
  metrics:
7
- - accuracy
8
  model-index:
9
- - name: gpt2+morf_cx-en_00000-00009_50k
10
- results:
11
- - task:
12
- name: Causal Language Modeling
13
- type: text-generation
14
- dataset:
15
- name: uonlp/CulturaX en
16
- type: uonlp/CulturaX
17
- args: en
18
- metrics:
19
- - name: Accuracy
20
- type: accuracy
21
- value: 0.39500633343599556
22
  ---
23
 
24
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
25
  should probably proofread and complete it, then remove this comment. -->
26
 
27
- # gpt2+morf_cx-en_00000-00009_50k
28
 
29
  This model is a fine-tuned version of [](https://huggingface.co/) on the uonlp/CulturaX en dataset.
30
  It achieves the following results on the evaluation set:
 
31
  - Loss: 3.3667
32
  - Accuracy: 0.3950
33
 
@@ -48,6 +49,7 @@ More information needed
48
  ### Training hyperparameters
49
 
50
  The following hyperparameters were used during training:
 
51
  - learning_rate: 5e-05
52
  - train_batch_size: 64
53
  - eval_batch_size: 64
@@ -58,35 +60,34 @@ The following hyperparameters were used during training:
58
 
59
  ### Training results
60
 
61
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
62
- |:-------------:|:-----:|:------:|:---------------:|:--------:|
63
- | 4.3227 | 0.04 | 10000 | 4.2268 | 0.3161 |
64
- | 4.0305 | 0.07 | 20000 | 3.9455 | 0.3393 |
65
- | 3.8916 | 0.11 | 30000 | 3.8194 | 0.3502 |
66
- | 3.8104 | 0.15 | 40000 | 3.7340 | 0.3580 |
67
- | 3.7491 | 0.19 | 50000 | 3.6770 | 0.3633 |
68
- | 3.7062 | 0.22 | 60000 | 3.6288 | 0.3679 |
69
- | 3.6724 | 0.26 | 70000 | 3.5938 | 0.3714 |
70
- | 3.6399 | 0.3 | 80000 | 3.5652 | 0.3743 |
71
- | 3.6147 | 0.34 | 90000 | 3.5396 | 0.3768 |
72
- | 3.5946 | 0.37 | 100000 | 3.5158 | 0.3791 |
73
- | 3.5726 | 0.41 | 110000 | 3.4986 | 0.3809 |
74
- | 3.5631 | 0.45 | 120000 | 3.4819 | 0.3826 |
75
- | 3.5459 | 0.49 | 130000 | 3.4678 | 0.3842 |
76
- | 3.5304 | 0.52 | 140000 | 3.4535 | 0.3857 |
77
- | 3.5245 | 0.56 | 150000 | 3.4430 | 0.3867 |
78
- | 3.5124 | 0.6 | 160000 | 3.4329 | 0.3877 |
79
- | 3.501 | 0.63 | 170000 | 3.4223 | 0.3890 |
80
- | 3.4934 | 0.67 | 180000 | 3.4130 | 0.3901 |
81
- | 3.4863 | 0.71 | 190000 | 3.4042 | 0.3909 |
82
- | 3.4799 | 0.75 | 200000 | 3.3991 | 0.3914 |
83
- | 3.4682 | 0.78 | 210000 | 3.3909 | 0.3924 |
84
- | 3.4667 | 0.82 | 220000 | 3.3852 | 0.3930 |
85
- | 3.4564 | 0.86 | 230000 | 3.3790 | 0.3936 |
86
- | 3.4581 | 0.9 | 240000 | 3.3753 | 0.3941 |
87
- | 3.4553 | 0.93 | 250000 | 3.3710 | 0.3945 |
88
- | 3.4508 | 0.97 | 260000 | 3.3680 | 0.3949 |
89
-
90
 
91
  ### Framework versions
92
 
 
1
  ---
2
  tags:
3
+ - generated_from_trainer
4
  datasets:
5
+ - uonlp/CulturaX
6
  metrics:
7
+ - accuracy
8
  model-index:
9
+ - name: gpt2+morf_u0-30-50-x_cx-en_00000-00009_50k
10
+ results:
11
+ - task:
12
+ name: Causal Language Modeling
13
+ type: text-generation
14
+ dataset:
15
+ name: uonlp/CulturaX en
16
+ type: uonlp/CulturaX
17
+ args: en
18
+ metrics:
19
+ - name: Accuracy
20
+ type: accuracy
21
+ value: 0.39500633343599556
22
  ---
23
 
24
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
25
  should probably proofread and complete it, then remove this comment. -->
26
 
27
+ # gpt2+morf_u0-30-50-x_cx-en_00000-00009_50k
28
 
29
  This model is a fine-tuned version of [](https://huggingface.co/) on the uonlp/CulturaX en dataset.
30
  It achieves the following results on the evaluation set:
31
+
32
  - Loss: 3.3667
33
  - Accuracy: 0.3950
34
 
 
49
  ### Training hyperparameters
50
 
51
  The following hyperparameters were used during training:
52
+
53
  - learning_rate: 5e-05
54
  - train_batch_size: 64
55
  - eval_batch_size: 64
 
60
 
61
  ### Training results
62
 
63
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
64
+ | :-----------: | :---: | :----: | :-------------: | :------: |
65
+ | 4.3227 | 0.04 | 10000 | 4.2268 | 0.3161 |
66
+ | 4.0305 | 0.07 | 20000 | 3.9455 | 0.3393 |
67
+ | 3.8916 | 0.11 | 30000 | 3.8194 | 0.3502 |
68
+ | 3.8104 | 0.15 | 40000 | 3.7340 | 0.3580 |
69
+ | 3.7491 | 0.19 | 50000 | 3.6770 | 0.3633 |
70
+ | 3.7062 | 0.22 | 60000 | 3.6288 | 0.3679 |
71
+ | 3.6724 | 0.26 | 70000 | 3.5938 | 0.3714 |
72
+ | 3.6399 | 0.3 | 80000 | 3.5652 | 0.3743 |
73
+ | 3.6147 | 0.34 | 90000 | 3.5396 | 0.3768 |
74
+ | 3.5946 | 0.37 | 100000 | 3.5158 | 0.3791 |
75
+ | 3.5726 | 0.41 | 110000 | 3.4986 | 0.3809 |
76
+ | 3.5631 | 0.45 | 120000 | 3.4819 | 0.3826 |
77
+ | 3.5459 | 0.49 | 130000 | 3.4678 | 0.3842 |
78
+ | 3.5304 | 0.52 | 140000 | 3.4535 | 0.3857 |
79
+ | 3.5245 | 0.56 | 150000 | 3.4430 | 0.3867 |
80
+ | 3.5124 | 0.6 | 160000 | 3.4329 | 0.3877 |
81
+ | 3.501 | 0.63 | 170000 | 3.4223 | 0.3890 |
82
+ | 3.4934 | 0.67 | 180000 | 3.4130 | 0.3901 |
83
+ | 3.4863 | 0.71 | 190000 | 3.4042 | 0.3909 |
84
+ | 3.4799 | 0.75 | 200000 | 3.3991 | 0.3914 |
85
+ | 3.4682 | 0.78 | 210000 | 3.3909 | 0.3924 |
86
+ | 3.4667 | 0.82 | 220000 | 3.3852 | 0.3930 |
87
+ | 3.4564 | 0.86 | 230000 | 3.3790 | 0.3936 |
88
+ | 3.4581 | 0.9 | 240000 | 3.3753 | 0.3941 |
89
+ | 3.4553 | 0.93 | 250000 | 3.3710 | 0.3945 |
90
+ | 3.4508 | 0.97 | 260000 | 3.3680 | 0.3949 |
 
91
 
92
  ### Framework versions
93