Hugging Face's logo

salbatarni
/
arabert_cross_relevance_task1_fold2

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
84dc0bb
•
1 Parent(s): b862ae2

Training in progress, step 170

Browse files
Files changed (8) hide show
  1. README.md +89 -41
  2. model.safetensors +1 -1
  3. runs/Sep02_02-03-55_a09311c9b42d/events.out.tfevents.1725242637.a09311c9b42d.22.0 +3 -0
  4. runs/Sep02_02-03-55_a09311c9b42d/events.out.tfevents.1725243376.a09311c9b42d.22.1 +3 -0
  5. runs/Sep02_02-16-18_a09311c9b42d/events.out.tfevents.1725243379.a09311c9b42d.22.2 +3 -0
  6. runs/Sep02_02-16-18_a09311c9b42d/events.out.tfevents.1725244058.a09311c9b42d.22.3 +3 -0
  7. runs/Sep02_02-27-39_a09311c9b42d/events.out.tfevents.1725244060.a09311c9b42d.22.4 +3 -0
  8. 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_relevance_task1_fold2
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_relevance_task1_fold2
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: 0.2831
18
  - Qwk: 0.0
19
- - Mse: 0.2831
20
 
21
  ## Model description
22
 
@@ -36,49 +36,97 @@ 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 | 0.0308 | 2 | 1.7758 | 0.0 | 1.7758 |
51
- | No log | 0.0615 | 4 | 0.4260 | 0.0230 | 0.4260 |
52
- | No log | 0.0923 | 6 | 0.2683 | 0.0357 | 0.2683 |
53
- | No log | 0.1231 | 8 | 0.4228 | 0.1279 | 0.4228 |
54
- | No log | 0.1538 | 10 | 0.3603 | -0.0238 | 0.3603 |
55
- | No log | 0.1846 | 12 | 0.2737 | 0.0 | 0.2737 |
56
- | No log | 0.2154 | 14 | 0.2624 | 0.0 | 0.2624 |
57
- | No log | 0.2462 | 16 | 0.2619 | 0.0 | 0.2619 |
58
- | No log | 0.2769 | 18 | 0.2688 | 0.0 | 0.2688 |
59
- | No log | 0.3077 | 20 | 0.2704 | 0.0 | 0.2704 |
60
- | No log | 0.3385 | 22 | 0.2624 | 0.0 | 0.2624 |
61
- | No log | 0.3692 | 24 | 0.2623 | 0.0 | 0.2623 |
62
- | No log | 0.4 | 26 | 0.2679 | 0.0 | 0.2679 |
63
- | No log | 0.4308 | 28 | 0.2721 | 0.0 | 0.2721 |
64
- | No log | 0.4615 | 30 | 0.2703 | 0.0 | 0.2703 |
65
- | No log | 0.4923 | 32 | 0.2734 | 0.0 | 0.2734 |
66
- | No log | 0.5231 | 34 | 0.2751 | 0.0 | 0.2751 |
67
- | No log | 0.5538 | 36 | 0.2768 | 0.0 | 0.2768 |
68
- | No log | 0.5846 | 38 | 0.2791 | 0.0 | 0.2791 |
69
- | No log | 0.6154 | 40 | 0.2794 | 0.0 | 0.2794 |
70
- | No log | 0.6462 | 42 | 0.2773 | 0.0 | 0.2773 |
71
- | No log | 0.6769 | 44 | 0.2716 | 0.0 | 0.2716 |
72
- | No log | 0.7077 | 46 | 0.2703 | 0.0 | 0.2703 |
73
- | No log | 0.7385 | 48 | 0.2738 | 0.0 | 0.2738 |
74
- | No log | 0.7692 | 50 | 0.2740 | 0.0 | 0.2740 |
75
- | No log | 0.8 | 52 | 0.2800 | 0.0 | 0.2800 |
76
- | No log | 0.8308 | 54 | 0.2820 | 0.0 | 0.2820 |
77
- | No log | 0.8615 | 56 | 0.2816 | 0.0 | 0.2816 |
78
- | No log | 0.8923 | 58 | 0.2830 | 0.0 | 0.2830 |
79
- | No log | 0.9231 | 60 | 0.2845 | 0.0 | 0.2845 |
80
- | No log | 0.9538 | 62 | 0.2838 | 0.0 | 0.2838 |
81
- | No log | 0.9846 | 64 | 0.2831 | 0.0 | 0.2831 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
82
 
83
 
84
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task1_fold1
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_relevance_task1_fold1
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: 0.2738
18
  - Qwk: 0.0
19
+ - Mse: 0.2739
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 | 0.125 | 2 | 1.0588 | -0.0001 | 1.0575 |
51
+ | No log | 0.25 | 4 | 0.3264 | 0.1085 | 0.3266 |
52
+ | No log | 0.375 | 6 | 0.4800 | 0.0711 | 0.4804 |
53
+ | No log | 0.5 | 8 | 0.3741 | 0.0242 | 0.3744 |
54
+ | No log | 0.625 | 10 | 0.2864 | 0.0 | 0.2865 |
55
+ | No log | 0.75 | 12 | 0.2902 | 0.0 | 0.2903 |
56
+ | No log | 0.875 | 14 | 0.3836 | -0.0180 | 0.3840 |
57
+ | No log | 1.0 | 16 | 0.5708 | 0.0324 | 0.5714 |
58
+ | No log | 1.125 | 18 | 0.6465 | 0.0638 | 0.6472 |
59
+ | No log | 1.25 | 20 | 0.4891 | -0.0969 | 0.4897 |
60
+ | No log | 1.375 | 22 | 0.3947 | 0.0283 | 0.3952 |
61
+ | No log | 1.5 | 24 | 0.3523 | 0.0122 | 0.3527 |
62
+ | No log | 1.625 | 26 | 0.3225 | 0.0 | 0.3228 |
63
+ | No log | 1.75 | 28 | 0.3334 | 0.0 | 0.3337 |
64
+ | No log | 1.875 | 30 | 0.3339 | 0.0 | 0.3343 |
65
+ | No log | 2.0 | 32 | 0.3405 | 0.0122 | 0.3408 |
66
+ | No log | 2.125 | 34 | 0.3476 | 0.0122 | 0.3480 |
67
+ | No log | 2.25 | 36 | 0.3276 | 0.0122 | 0.3280 |
68
+ | No log | 2.375 | 38 | 0.3178 | 0.0 | 0.3181 |
69
+ | No log | 2.5 | 40 | 0.3023 | 0.0 | 0.3026 |
70
+ | No log | 2.625 | 42 | 0.2905 | 0.0 | 0.2907 |
71
+ | No log | 2.75 | 44 | 0.2841 | 0.0 | 0.2843 |
72
+ | No log | 2.875 | 46 | 0.2902 | 0.0 | 0.2904 |
73
+ | No log | 3.0 | 48 | 0.3167 | 0.0122 | 0.3170 |
74
+ | No log | 3.125 | 50 | 0.3680 | 0.0285 | 0.3684 |
75
+ | No log | 3.25 | 52 | 0.3771 | 0.0452 | 0.3775 |
76
+ | No log | 3.375 | 54 | 0.3850 | 0.0665 | 0.3854 |
77
+ | No log | 3.5 | 56 | 0.3485 | 0.0080 | 0.3489 |
78
+ | No log | 3.625 | 58 | 0.3149 | 0.0 | 0.3151 |
79
+ | No log | 3.75 | 60 | 0.2939 | 0.0 | 0.2941 |
80
+ | No log | 3.875 | 62 | 0.2881 | 0.0 | 0.2883 |
81
+ | No log | 4.0 | 64 | 0.2895 | 0.0 | 0.2897 |
82
+ | No log | 4.125 | 66 | 0.3127 | 0.0 | 0.3129 |
83
+ | No log | 4.25 | 68 | 0.3458 | 0.0245 | 0.3462 |
84
+ | No log | 4.375 | 70 | 0.3576 | 0.0161 | 0.3580 |
85
+ | No log | 4.5 | 72 | 0.3521 | 0.0161 | 0.3525 |
86
+ | No log | 4.625 | 74 | 0.3633 | 0.0161 | 0.3637 |
87
+ | No log | 4.75 | 76 | 0.3571 | 0.0326 | 0.3575 |
88
+ | No log | 4.875 | 78 | 0.3220 | 0.0 | 0.3223 |
89
+ | No log | 5.0 | 80 | 0.2971 | 0.0 | 0.2973 |
90
+ | No log | 5.125 | 82 | 0.2905 | 0.0 | 0.2906 |
91
+ | No log | 5.25 | 84 | 0.2904 | 0.0 | 0.2906 |
92
+ | No log | 5.375 | 86 | 0.2948 | 0.0 | 0.2950 |
93
+ | No log | 5.5 | 88 | 0.3083 | 0.0 | 0.3085 |
94
+ | No log | 5.625 | 90 | 0.3120 | 0.0 | 0.3123 |
95
+ | No log | 5.75 | 92 | 0.2947 | 0.0 | 0.2949 |
96
+ | No log | 5.875 | 94 | 0.2786 | 0.0 | 0.2786 |
97
+ | No log | 6.0 | 96 | 0.2717 | 0.0 | 0.2717 |
98
+ | No log | 6.125 | 98 | 0.2685 | 0.0 | 0.2684 |
99
+ | No log | 6.25 | 100 | 0.2677 | 0.0 | 0.2677 |
100
+ | No log | 6.375 | 102 | 0.2687 | 0.0 | 0.2688 |
101
+ | No log | 6.5 | 104 | 0.2689 | 0.0 | 0.2690 |
102
+ | No log | 6.625 | 106 | 0.2694 | 0.0 | 0.2695 |
103
+ | No log | 6.75 | 108 | 0.2703 | 0.0 | 0.2703 |
104
+ | No log | 6.875 | 110 | 0.2742 | 0.0 | 0.2743 |
105
+ | No log | 7.0 | 112 | 0.2832 | 0.0 | 0.2833 |
106
+ | No log | 7.125 | 114 | 0.2950 | 0.0 | 0.2953 |
107
+ | No log | 7.25 | 116 | 0.2962 | 0.0 | 0.2965 |
108
+ | No log | 7.375 | 118 | 0.2908 | 0.0 | 0.2910 |
109
+ | No log | 7.5 | 120 | 0.2842 | 0.0 | 0.2844 |
110
+ | No log | 7.625 | 122 | 0.2800 | 0.0 | 0.2802 |
111
+ | No log | 7.75 | 124 | 0.2757 | 0.0 | 0.2758 |
112
+ | No log | 7.875 | 126 | 0.2725 | 0.0 | 0.2726 |
113
+ | No log | 8.0 | 128 | 0.2720 | 0.0 | 0.2720 |
114
+ | No log | 8.125 | 130 | 0.2730 | 0.0 | 0.2730 |
115
+ | No log | 8.25 | 132 | 0.2749 | 0.0 | 0.2750 |
116
+ | No log | 8.375 | 134 | 0.2761 | 0.0 | 0.2763 |
117
+ | No log | 8.5 | 136 | 0.2761 | 0.0 | 0.2762 |
118
+ | No log | 8.625 | 138 | 0.2753 | 0.0 | 0.2755 |
119
+ | No log | 8.75 | 140 | 0.2739 | 0.0 | 0.2740 |
120
+ | No log | 8.875 | 142 | 0.2738 | 0.0 | 0.2739 |
121
+ | No log | 9.0 | 144 | 0.2744 | 0.0 | 0.2745 |
122
+ | No log | 9.125 | 146 | 0.2747 | 0.0 | 0.2748 |
123
+ | No log | 9.25 | 148 | 0.2751 | 0.0 | 0.2752 |
124
+ | No log | 9.375 | 150 | 0.2750 | 0.0 | 0.2751 |
125
+ | No log | 9.5 | 152 | 0.2745 | 0.0 | 0.2747 |
126
+ | No log | 9.625 | 154 | 0.2742 | 0.0 | 0.2743 |
127
+ | No log | 9.75 | 156 | 0.2740 | 0.0 | 0.2741 |
128
+ | No log | 9.875 | 158 | 0.2739 | 0.0 | 0.2740 |
129
+ | No log | 10.0 | 160 | 0.2738 | 0.0 | 0.2739 |
130
 
131
 
132
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:083d3ac18b784ee9307527cae4f6370b1cea215a42909e743caeb786e5409b7d
3
  size 540799996
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:852ef1e81b25f200546c0d05a02477920a007d55d465e29d8a0c54d322238e84
3
  size 540799996
runs/Sep02_02-03-55_a09311c9b42d/events.out.tfevents.1725242637.a09311c9b42d.22.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e6a0fc106c94b86c97514c87576eba536657bbbf37db0fced8f63570b2d75b0
3
+ size 32251
runs/Sep02_02-03-55_a09311c9b42d/events.out.tfevents.1725243376.a09311c9b42d.22.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf9640d7f42aed20bf76a1b4736e92d07381d6c1528925281e2e4d9658cd426f
3
+ size 453
runs/Sep02_02-16-18_a09311c9b42d/events.out.tfevents.1725243379.a09311c9b42d.22.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14e3c3e7a77ec84a838120471e2c925efc236fbba8fd9eae945bd35f0a47571d
3
+ size 34076
runs/Sep02_02-16-18_a09311c9b42d/events.out.tfevents.1725244058.a09311c9b42d.22.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1eb0b0c858ceb7d33d48847fbc1eea007919d873c19f01775567fc3990876103
3
+ size 453
runs/Sep02_02-27-39_a09311c9b42d/events.out.tfevents.1725244060.a09311c9b42d.22.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e08cc9c4e5629bd646f6958331ec61097bbc8a5ddc80ebc9795fb8ef9168e28b
3
+ size 35901
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a4f1e9e628a3f0a22aa5bbf899ee0b58aa6dcdea93676e2218a56749268954ef
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c9140901b854ab7f49a7cfd0e0ca9307797caf800a35ae3b3746bf487b364e5
3
  size 5240