Hugging Face's logo

salbatarni
/
arabert_cross_relevance_task1_fold5

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
87cd5f0
·
verified ·
1 Parent(s): 13e6e78

Training in progress, step 150

Browse files
Files changed (14) hide show
  1. README.md +90 -38
  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. runs/Sep02_02-27-39_a09311c9b42d/events.out.tfevents.1725244717.a09311c9b42d.22.5 +3 -0
  9. runs/Sep02_02-38-39_a09311c9b42d/events.out.tfevents.1725244720.a09311c9b42d.22.6 +3 -0
  10. runs/Sep02_02-38-39_a09311c9b42d/events.out.tfevents.1725245477.a09311c9b42d.22.7 +3 -0
  11. runs/Sep02_02-51-19_a09311c9b42d/events.out.tfevents.1725245480.a09311c9b42d.22.8 +3 -0
  12. runs/Sep02_02-51-19_a09311c9b42d/events.out.tfevents.1725246191.a09311c9b42d.22.9 +3 -0
  13. runs/Sep02_03-03-13_a09311c9b42d/events.out.tfevents.1725246194.a09311c9b42d.22.10 +3 -0
  14. 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_fold5
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_fold5
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: 0.1955
18
- - Qwk: 0.3846
19
- - Mse: 0.1955
20
 
21
  ## Model description
22
 
@@ -36,45 +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 | 0.0351 | 2 | 0.3613 | 0.2826 | 0.3613 |
51
- | No log | 0.0702 | 4 | 0.4116 | 0.5484 | 0.4116 |
52
- | No log | 0.1053 | 6 | 0.2771 | 0.4880 | 0.2771 |
53
- | No log | 0.1404 | 8 | 0.2157 | 0.3346 | 0.2157 |
54
- | No log | 0.1754 | 10 | 0.2149 | 0.3324 | 0.2149 |
55
- | No log | 0.2105 | 12 | 0.2119 | 0.3302 | 0.2119 |
56
- | No log | 0.2456 | 14 | 0.2146 | 0.3336 | 0.2146 |
57
- | No log | 0.2807 | 16 | 0.2085 | 0.3319 | 0.2085 |
58
- | No log | 0.3158 | 18 | 0.2118 | 0.3641 | 0.2118 |
59
- | No log | 0.3509 | 20 | 0.2261 | 0.4439 | 0.2261 |
60
- | No log | 0.3860 | 22 | 0.2392 | 0.4713 | 0.2392 |
61
- | No log | 0.4211 | 24 | 0.2344 | 0.4095 | 0.2344 |
62
- | No log | 0.4561 | 26 | 0.2151 | 0.3602 | 0.2151 |
63
- | No log | 0.4912 | 28 | 0.2029 | 0.3304 | 0.2029 |
64
- | No log | 0.5263 | 30 | 0.2041 | 0.3227 | 0.2041 |
65
- | No log | 0.5614 | 32 | 0.2085 | 0.3015 | 0.2085 |
66
- | No log | 0.5965 | 34 | 0.2114 | 0.2998 | 0.2114 |
67
- | No log | 0.6316 | 36 | 0.2114 | 0.2998 | 0.2114 |
68
- | No log | 0.6667 | 38 | 0.2041 | 0.3156 | 0.2041 |
69
- | No log | 0.7018 | 40 | 0.1985 | 0.3186 | 0.1985 |
70
- | No log | 0.7368 | 42 | 0.1948 | 0.3490 | 0.1948 |
71
- | No log | 0.7719 | 44 | 0.1925 | 0.3543 | 0.1925 |
72
- | No log | 0.8070 | 46 | 0.1939 | 0.3667 | 0.1939 |
73
- | No log | 0.8421 | 48 | 0.1928 | 0.3684 | 0.1928 |
74
- | No log | 0.8772 | 50 | 0.1932 | 0.3736 | 0.1932 |
75
- | No log | 0.9123 | 52 | 0.1942 | 0.3795 | 0.1942 |
76
- | No log | 0.9474 | 54 | 0.1952 | 0.3846 | 0.1952 |
77
- | No log | 0.9825 | 56 | 0.1955 | 0.3846 | 0.1955 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
78
 
79
 
80
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task1_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_relevance_task1_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: 0.2462
18
+ - Qwk: 0.2970
19
+ - Mse: 0.2462
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 | 1.1439 | 0.0152 | 1.1439 |
51
+ | No log | 0.25 | 4 | 0.4542 | 0.1058 | 0.4542 |
52
+ | No log | 0.375 | 6 | 0.3468 | 0.2290 | 0.3468 |
53
+ | No log | 0.5 | 8 | 0.3648 | 0.1816 | 0.3648 |
54
+ | No log | 0.625 | 10 | 0.4917 | 0.2054 | 0.4917 |
55
+ | No log | 0.75 | 12 | 0.3361 | 0.2720 | 0.3361 |
56
+ | No log | 0.875 | 14 | 0.2581 | 0.2606 | 0.2581 |
57
+ | No log | 1.0 | 16 | 0.2596 | 0.3452 | 0.2596 |
58
+ | No log | 1.125 | 18 | 0.2652 | 0.3776 | 0.2652 |
59
+ | No log | 1.25 | 20 | 0.2495 | 0.3605 | 0.2495 |
60
+ | No log | 1.375 | 22 | 0.2883 | 0.2801 | 0.2883 |
61
+ | No log | 1.5 | 24 | 0.3460 | 0.2241 | 0.3460 |
62
+ | No log | 1.625 | 26 | 0.3144 | 0.2483 | 0.3144 |
63
+ | No log | 1.75 | 28 | 0.2568 | 0.3617 | 0.2568 |
64
+ | No log | 1.875 | 30 | 0.2645 | 0.3732 | 0.2645 |
65
+ | No log | 2.0 | 32 | 0.2745 | 0.3354 | 0.2745 |
66
+ | No log | 2.125 | 34 | 0.2642 | 0.3416 | 0.2642 |
67
+ | No log | 2.25 | 36 | 0.2371 | 0.3323 | 0.2371 |
68
+ | No log | 2.375 | 38 | 0.2288 | 0.3278 | 0.2288 |
69
+ | No log | 2.5 | 40 | 0.2336 | 0.3517 | 0.2336 |
70
+ | No log | 2.625 | 42 | 0.2327 | 0.3836 | 0.2327 |
71
+ | No log | 2.75 | 44 | 0.2341 | 0.4092 | 0.2341 |
72
+ | No log | 2.875 | 46 | 0.2410 | 0.3449 | 0.2410 |
73
+ | No log | 3.0 | 48 | 0.2695 | 0.3349 | 0.2695 |
74
+ | No log | 3.125 | 50 | 0.2860 | 0.2593 | 0.2860 |
75
+ | No log | 3.25 | 52 | 0.2584 | 0.2899 | 0.2584 |
76
+ | No log | 3.375 | 54 | 0.2408 | 0.3216 | 0.2408 |
77
+ | No log | 3.5 | 56 | 0.2232 | 0.3190 | 0.2232 |
78
+ | No log | 3.625 | 58 | 0.2179 | 0.3172 | 0.2179 |
79
+ | No log | 3.75 | 60 | 0.2229 | 0.3029 | 0.2229 |
80
+ | No log | 3.875 | 62 | 0.2274 | 0.2855 | 0.2274 |
81
+ | No log | 4.0 | 64 | 0.2344 | 0.2787 | 0.2344 |
82
+ | No log | 4.125 | 66 | 0.2449 | 0.2616 | 0.2449 |
83
+ | No log | 4.25 | 68 | 0.2478 | 0.2753 | 0.2478 |
84
+ | No log | 4.375 | 70 | 0.2462 | 0.3017 | 0.2462 |
85
+ | No log | 4.5 | 72 | 0.2513 | 0.3343 | 0.2513 |
86
+ | No log | 4.625 | 74 | 0.2528 | 0.3607 | 0.2528 |
87
+ | No log | 4.75 | 76 | 0.2439 | 0.3638 | 0.2439 |
88
+ | No log | 4.875 | 78 | 0.2300 | 0.3536 | 0.2300 |
89
+ | No log | 5.0 | 80 | 0.2244 | 0.3127 | 0.2244 |
90
+ | No log | 5.125 | 82 | 0.2243 | 0.3034 | 0.2243 |
91
+ | No log | 5.25 | 84 | 0.2290 | 0.2891 | 0.2290 |
92
+ | No log | 5.375 | 86 | 0.2240 | 0.3203 | 0.2240 |
93
+ | No log | 5.5 | 88 | 0.2237 | 0.3522 | 0.2237 |
94
+ | No log | 5.625 | 90 | 0.2245 | 0.3408 | 0.2245 |
95
+ | No log | 5.75 | 92 | 0.2258 | 0.3271 | 0.2258 |
96
+ | No log | 5.875 | 94 | 0.2291 | 0.3021 | 0.2291 |
97
+ | No log | 6.0 | 96 | 0.2407 | 0.2882 | 0.2407 |
98
+ | No log | 6.125 | 98 | 0.2527 | 0.2783 | 0.2527 |
99
+ | No log | 6.25 | 100 | 0.2560 | 0.2686 | 0.2560 |
100
+ | No log | 6.375 | 102 | 0.2524 | 0.2882 | 0.2524 |
101
+ | No log | 6.5 | 104 | 0.2478 | 0.3136 | 0.2478 |
102
+ | No log | 6.625 | 106 | 0.2439 | 0.3199 | 0.2439 |
103
+ | No log | 6.75 | 108 | 0.2489 | 0.3136 | 0.2489 |
104
+ | No log | 6.875 | 110 | 0.2507 | 0.3033 | 0.2507 |
105
+ | No log | 7.0 | 112 | 0.2439 | 0.3109 | 0.2439 |
106
+ | No log | 7.125 | 114 | 0.2358 | 0.3238 | 0.2358 |
107
+ | No log | 7.25 | 116 | 0.2350 | 0.3238 | 0.2350 |
108
+ | No log | 7.375 | 118 | 0.2450 | 0.3069 | 0.2450 |
109
+ | No log | 7.5 | 120 | 0.2670 | 0.2709 | 0.2670 |
110
+ | No log | 7.625 | 122 | 0.2757 | 0.2529 | 0.2757 |
111
+ | No log | 7.75 | 124 | 0.2626 | 0.2709 | 0.2626 |
112
+ | No log | 7.875 | 126 | 0.2540 | 0.2774 | 0.2540 |
113
+ | No log | 8.0 | 128 | 0.2430 | 0.2904 | 0.2430 |
114
+ | No log | 8.125 | 130 | 0.2346 | 0.2878 | 0.2346 |
115
+ | No log | 8.25 | 132 | 0.2324 | 0.2981 | 0.2324 |
116
+ | No log | 8.375 | 134 | 0.2325 | 0.2981 | 0.2325 |
117
+ | No log | 8.5 | 136 | 0.2349 | 0.2878 | 0.2349 |
118
+ | No log | 8.625 | 138 | 0.2374 | 0.3005 | 0.2374 |
119
+ | No log | 8.75 | 140 | 0.2415 | 0.2942 | 0.2415 |
120
+ | No log | 8.875 | 142 | 0.2456 | 0.2942 | 0.2456 |
121
+ | No log | 9.0 | 144 | 0.2483 | 0.2942 | 0.2483 |
122
+ | No log | 9.125 | 146 | 0.2484 | 0.2942 | 0.2484 |
123
+ | No log | 9.25 | 148 | 0.2480 | 0.2970 | 0.2480 |
124
+ | No log | 9.375 | 150 | 0.2488 | 0.2970 | 0.2488 |
125
+ | No log | 9.5 | 152 | 0.2480 | 0.2970 | 0.2480 |
126
+ | No log | 9.625 | 154 | 0.2465 | 0.2970 | 0.2465 |
127
+ | No log | 9.75 | 156 | 0.2462 | 0.2942 | 0.2462 |
128
+ | No log | 9.875 | 158 | 0.2463 | 0.2970 | 0.2463 |
129
+ | No log | 10.0 | 160 | 0.2462 | 0.2970 | 0.2462 |
130
 
131
 
132
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f9b3c24e6c6940c011c2e3bc95137a6e58b96520e886f8294dc0cf999727fe30
3
  size 540799996
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:865f98fce401d02f46ecb3b11896304e2bb8981bc1b19e1e424a459dcb746cb5
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
runs/Sep02_02-27-39_a09311c9b42d/events.out.tfevents.1725244717.a09311c9b42d.22.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b6a76e94d17882575600eff20d9b716c5dbe1a481e61b0e65949aefe55c82f5
3
+ size 453
runs/Sep02_02-38-39_a09311c9b42d/events.out.tfevents.1725244720.a09311c9b42d.22.6 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc5873244d31fec7d4cb7b7541c02d1394ff77f8571b242c60ae5a6c2df85e7a
3
+ size 32251
runs/Sep02_02-38-39_a09311c9b42d/events.out.tfevents.1725245477.a09311c9b42d.22.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7347d4eb3befaafaddbc9981c6ac70bc98569f8c449b3a5ec7a8a0d0c34fc58d
3
+ size 453
runs/Sep02_02-51-19_a09311c9b42d/events.out.tfevents.1725245480.a09311c9b42d.22.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db7f37b633092f5c686ce784fad3d22bb5782d260a73c9123b0c17a5eb4a3fdf
3
+ size 34076
runs/Sep02_02-51-19_a09311c9b42d/events.out.tfevents.1725246191.a09311c9b42d.22.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70aa80a6bf24a27b9794d2df6db46c9daa7ebd5474dc6d7a9a3bf8ec6b74e105
3
+ size 453
runs/Sep02_03-03-13_a09311c9b42d/events.out.tfevents.1725246194.a09311c9b42d.22.10 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb395edb637049ea9fb32b492a5c61cb4efcc95f5caebaf2ae81de4a59ee0430
3
+ size 32251
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ec2f9b27571de1be189aeb54e97d039e41da71ff7c787d36542e5edae1d8153b
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:399642b0be5b6321502f2fa6f0f3fc1e9e371236439d9bd88eb0f94570ddcdd5
3
  size 5240