Hugging Face's logo

salbatarni
/
arabert_cross_organization_task4_fold4

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
da2df11
•
1 Parent(s): db6da08

Training in progress, step 180

Browse files
Files changed (3) hide show
  1. README.md +95 -44
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
- - name: arabert_cross_organization_task4_fold4
7
  results: []
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
13
- # arabert_cross_organization_task4_fold4
14
 
15
  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 0.4217
18
- - Qwk: 0.7698
19
- - Mse: 0.4217
20
 
21
  ## Model description
22
 
@@ -36,51 +36,102 @@ More information needed
36
 
37
  The following hyperparameters were used during training:
38
  - learning_rate: 2e-05
39
- - train_batch_size: 16
40
- - eval_batch_size: 16
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
- - num_epochs: 1
45
 
46
  ### Training results
47
 
48
- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
- |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
50
- | No log | 0.0290 | 2 | 3.8029 | -0.0040 | 3.8029 |
51
- | No log | 0.0580 | 4 | 2.0832 | 0.0753 | 2.0832 |
52
- | No log | 0.0870 | 6 | 1.0966 | 0.2945 | 1.0966 |
53
- | No log | 0.1159 | 8 | 1.1340 | 0.2218 | 1.1340 |
54
- | No log | 0.1449 | 10 | 0.9878 | 0.4629 | 0.9878 |
55
- | No log | 0.1739 | 12 | 0.6065 | 0.5754 | 0.6065 |
56
- | No log | 0.2029 | 14 | 0.5745 | 0.6759 | 0.5745 |
57
- | No log | 0.2319 | 16 | 0.5427 | 0.7116 | 0.5427 |
58
- | No log | 0.2609 | 18 | 0.5176 | 0.7378 | 0.5176 |
59
- | No log | 0.2899 | 20 | 0.5117 | 0.7477 | 0.5117 |
60
- | No log | 0.3188 | 22 | 0.4280 | 0.7223 | 0.4280 |
61
- | No log | 0.3478 | 24 | 0.4639 | 0.6625 | 0.4639 |
62
- | No log | 0.3768 | 26 | 0.4666 | 0.6504 | 0.4666 |
63
- | No log | 0.4058 | 28 | 0.4234 | 0.7030 | 0.4234 |
64
- | No log | 0.4348 | 30 | 0.4503 | 0.7480 | 0.4503 |
65
- | No log | 0.4638 | 32 | 0.6034 | 0.7914 | 0.6034 |
66
- | No log | 0.4928 | 34 | 0.6301 | 0.7753 | 0.6301 |
67
- | No log | 0.5217 | 36 | 0.6372 | 0.7764 | 0.6372 |
68
- | No log | 0.5507 | 38 | 0.5122 | 0.7821 | 0.5122 |
69
- | No log | 0.5797 | 40 | 0.4199 | 0.7483 | 0.4199 |
70
- | No log | 0.6087 | 42 | 0.4014 | 0.7084 | 0.4014 |
71
- | No log | 0.6377 | 44 | 0.4102 | 0.6804 | 0.4102 |
72
- | No log | 0.6667 | 46 | 0.3981 | 0.7069 | 0.3981 |
73
- | No log | 0.6957 | 48 | 0.3881 | 0.7376 | 0.3881 |
74
- | No log | 0.7246 | 50 | 0.4138 | 0.7636 | 0.4138 |
75
- | No log | 0.7536 | 52 | 0.4708 | 0.7390 | 0.4708 |
76
- | No log | 0.7826 | 54 | 0.5049 | 0.7528 | 0.5049 |
77
- | No log | 0.8116 | 56 | 0.4753 | 0.7778 | 0.4753 |
78
- | No log | 0.8406 | 58 | 0.4281 | 0.7656 | 0.4281 |
79
- | No log | 0.8696 | 60 | 0.4096 | 0.7627 | 0.4096 |
80
- | No log | 0.8986 | 62 | 0.4073 | 0.7627 | 0.4073 |
81
- | No log | 0.9275 | 64 | 0.4080 | 0.7677 | 0.4080 |
82
- | No log | 0.9565 | 66 | 0.4175 | 0.7667 | 0.4175 |
83
- | No log | 0.9855 | 68 | 0.4217 | 0.7698 | 0.4217 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
84
 
85
 
86
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task4_fold3
7
  results: []
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
13
+ # arabert_cross_organization_task4_fold3
14
 
15
  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.5515
18
+ - Qwk: 0.8285
19
+ - Mse: 0.5515
20
 
21
  ## Model description
22
 
 
36
 
37
  The following hyperparameters were used during training:
38
  - learning_rate: 2e-05
39
+ - train_batch_size: 64
40
+ - eval_batch_size: 64
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
+ - num_epochs: 10
45
 
46
  ### Training results
47
 
48
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
+ | No log | 0.1176 | 2 | 1.8640 | 0.0713 | 1.8640 |
51
+ | No log | 0.2353 | 4 | 1.2390 | 0.2961 | 1.2390 |
52
+ | No log | 0.3529 | 6 | 1.0659 | 0.5023 | 1.0659 |
53
+ | No log | 0.4706 | 8 | 0.7195 | 0.6388 | 0.7195 |
54
+ | No log | 0.5882 | 10 | 0.6736 | 0.6636 | 0.6736 |
55
+ | No log | 0.7059 | 12 | 0.6560 | 0.7539 | 0.6560 |
56
+ | No log | 0.8235 | 14 | 0.6088 | 0.7149 | 0.6088 |
57
+ | No log | 0.9412 | 16 | 0.5695 | 0.7426 | 0.5695 |
58
+ | No log | 1.0588 | 18 | 0.5646 | 0.7706 | 0.5646 |
59
+ | No log | 1.1765 | 20 | 0.5616 | 0.7796 | 0.5616 |
60
+ | No log | 1.2941 | 22 | 0.5516 | 0.7811 | 0.5516 |
61
+ | No log | 1.4118 | 24 | 0.5475 | 0.7868 | 0.5475 |
62
+ | No log | 1.5294 | 26 | 0.5246 | 0.7436 | 0.5246 |
63
+ | No log | 1.6471 | 28 | 0.5463 | 0.6820 | 0.5463 |
64
+ | No log | 1.7647 | 30 | 0.5511 | 0.7714 | 0.5511 |
65
+ | No log | 1.8824 | 32 | 0.6634 | 0.7890 | 0.6634 |
66
+ | No log | 2.0 | 34 | 0.5815 | 0.7811 | 0.5815 |
67
+ | No log | 2.1176 | 36 | 0.5186 | 0.7320 | 0.5186 |
68
+ | No log | 2.2353 | 38 | 0.5161 | 0.7348 | 0.5161 |
69
+ | No log | 2.3529 | 40 | 0.5145 | 0.7637 | 0.5145 |
70
+ | No log | 2.4706 | 42 | 0.5367 | 0.7805 | 0.5367 |
71
+ | No log | 2.5882 | 44 | 0.5238 | 0.7807 | 0.5238 |
72
+ | No log | 2.7059 | 46 | 0.5169 | 0.7771 | 0.5169 |
73
+ | No log | 2.8235 | 48 | 0.5287 | 0.7852 | 0.5287 |
74
+ | No log | 2.9412 | 50 | 0.5446 | 0.7867 | 0.5446 |
75
+ | No log | 3.0588 | 52 | 0.5892 | 0.7786 | 0.5892 |
76
+ | No log | 3.1765 | 54 | 0.5913 | 0.7818 | 0.5913 |
77
+ | No log | 3.2941 | 56 | 0.5352 | 0.7813 | 0.5352 |
78
+ | No log | 3.4118 | 58 | 0.5197 | 0.7785 | 0.5197 |
79
+ | No log | 3.5294 | 60 | 0.5895 | 0.7951 | 0.5895 |
80
+ | No log | 3.6471 | 62 | 0.6125 | 0.7950 | 0.6125 |
81
+ | No log | 3.7647 | 64 | 0.5768 | 0.7875 | 0.5768 |
82
+ | No log | 3.8824 | 66 | 0.5110 | 0.7717 | 0.5110 |
83
+ | No log | 4.0 | 68 | 0.5375 | 0.7910 | 0.5375 |
84
+ | No log | 4.1176 | 70 | 0.6011 | 0.7996 | 0.6011 |
85
+ | No log | 4.2353 | 72 | 0.5525 | 0.7824 | 0.5525 |
86
+ | No log | 4.3529 | 74 | 0.5620 | 0.7907 | 0.5620 |
87
+ | No log | 4.4706 | 76 | 0.5220 | 0.7908 | 0.5220 |
88
+ | No log | 4.5882 | 78 | 0.5028 | 0.7641 | 0.5028 |
89
+ | No log | 4.7059 | 80 | 0.5102 | 0.7841 | 0.5102 |
90
+ | No log | 4.8235 | 82 | 0.6101 | 0.8166 | 0.6101 |
91
+ | No log | 4.9412 | 84 | 0.7637 | 0.8377 | 0.7637 |
92
+ | No log | 5.0588 | 86 | 0.6895 | 0.8271 | 0.6895 |
93
+ | No log | 5.1765 | 88 | 0.5154 | 0.7893 | 0.5154 |
94
+ | No log | 5.2941 | 90 | 0.4808 | 0.7932 | 0.4808 |
95
+ | No log | 5.4118 | 92 | 0.5241 | 0.7847 | 0.5241 |
96
+ | No log | 5.5294 | 94 | 0.6303 | 0.8282 | 0.6303 |
97
+ | No log | 5.6471 | 96 | 0.6026 | 0.8213 | 0.6026 |
98
+ | No log | 5.7647 | 98 | 0.5078 | 0.8217 | 0.5078 |
99
+ | No log | 5.8824 | 100 | 0.4940 | 0.8070 | 0.4940 |
100
+ | No log | 6.0 | 102 | 0.5633 | 0.8182 | 0.5633 |
101
+ | No log | 6.1176 | 104 | 0.7172 | 0.8375 | 0.7172 |
102
+ | No log | 6.2353 | 106 | 0.7195 | 0.8305 | 0.7195 |
103
+ | No log | 6.3529 | 108 | 0.5965 | 0.8196 | 0.5965 |
104
+ | No log | 6.4706 | 110 | 0.5114 | 0.7928 | 0.5114 |
105
+ | No log | 6.5882 | 112 | 0.5064 | 0.7886 | 0.5064 |
106
+ | No log | 6.7059 | 114 | 0.5439 | 0.8123 | 0.5439 |
107
+ | No log | 6.8235 | 116 | 0.6118 | 0.8257 | 0.6118 |
108
+ | No log | 6.9412 | 118 | 0.6143 | 0.8179 | 0.6143 |
109
+ | No log | 7.0588 | 120 | 0.6140 | 0.8174 | 0.6140 |
110
+ | No log | 7.1765 | 122 | 0.5766 | 0.8207 | 0.5766 |
111
+ | No log | 7.2941 | 124 | 0.5369 | 0.8188 | 0.5369 |
112
+ | No log | 7.4118 | 126 | 0.5480 | 0.8132 | 0.5480 |
113
+ | No log | 7.5294 | 128 | 0.6078 | 0.8236 | 0.6078 |
114
+ | No log | 7.6471 | 130 | 0.6701 | 0.8235 | 0.6701 |
115
+ | No log | 7.7647 | 132 | 0.6414 | 0.8221 | 0.6414 |
116
+ | No log | 7.8824 | 134 | 0.5864 | 0.8195 | 0.5864 |
117
+ | No log | 8.0 | 136 | 0.5473 | 0.8186 | 0.5473 |
118
+ | No log | 8.1176 | 138 | 0.5345 | 0.8188 | 0.5345 |
119
+ | No log | 8.2353 | 140 | 0.5432 | 0.8202 | 0.5432 |
120
+ | No log | 8.3529 | 142 | 0.5420 | 0.8239 | 0.5420 |
121
+ | No log | 8.4706 | 144 | 0.5381 | 0.8188 | 0.5381 |
122
+ | No log | 8.5882 | 146 | 0.5139 | 0.8016 | 0.5139 |
123
+ | No log | 8.7059 | 148 | 0.5052 | 0.7981 | 0.5052 |
124
+ | No log | 8.8235 | 150 | 0.5095 | 0.7948 | 0.5095 |
125
+ | No log | 8.9412 | 152 | 0.5334 | 0.8173 | 0.5334 |
126
+ | No log | 9.0588 | 154 | 0.5783 | 0.8340 | 0.5783 |
127
+ | No log | 9.1765 | 156 | 0.6036 | 0.8366 | 0.6036 |
128
+ | No log | 9.2941 | 158 | 0.6056 | 0.8403 | 0.6056 |
129
+ | No log | 9.4118 | 160 | 0.5911 | 0.8320 | 0.5911 |
130
+ | No log | 9.5294 | 162 | 0.5683 | 0.8301 | 0.5683 |
131
+ | No log | 9.6471 | 164 | 0.5583 | 0.8287 | 0.5583 |
132
+ | No log | 9.7647 | 166 | 0.5530 | 0.8269 | 0.5530 |
133
+ | No log | 9.8824 | 168 | 0.5512 | 0.8285 | 0.5512 |
134
+ | No log | 10.0 | 170 | 0.5515 | 0.8285 | 0.5515 |
135
 
136
 
137
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a6e91f4390f0d1e735a44fe9fdaeae66961ef0d5bbabee8653505f6ada1e783b
3
  size 540799996
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60f8ef135720db15383943c3957857b4503f2f662fac92bfe3233d58a17bbe93
3
  size 540799996
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1fced830624d7b2e9a1e1ae8581b242eb090cf7c9b80f833f19f8ccb00421c44
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c77c97b60a243da8e7465b11dce308bb8ee057d859d316f32850f3a50cb0a93a
3
  size 5240