Training in progress, step 500
Browse files- README.md +347 -0
- config.json +32 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,347 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
base_model: aubmindlab/bert-base-arabertv02
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
model-index:
|
7 |
+
- name: ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task3_organization
|
8 |
+
results: []
|
9 |
+
---
|
10 |
+
|
11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
12 |
+
should probably proofread and complete it, then remove this comment. -->
|
13 |
+
|
14 |
+
# ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task3_organization
|
15 |
+
|
16 |
+
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 0.8375
|
19 |
+
- Qwk: -0.1860
|
20 |
+
- Mse: 0.8375
|
21 |
+
- Rmse: 0.9151
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 2e-05
|
41 |
+
- train_batch_size: 8
|
42 |
+
- eval_batch_size: 8
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- num_epochs: 100
|
47 |
+
|
48 |
+
### Training results
|
49 |
+
|
50 |
+
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|
51 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|
|
52 |
+
| No log | 0.05 | 2 | 3.3980 | 0.0062 | 3.3980 | 1.8434 |
|
53 |
+
| No log | 0.1 | 4 | 1.9708 | 0.0325 | 1.9708 | 1.4038 |
|
54 |
+
| No log | 0.15 | 6 | 2.1479 | 0.0247 | 2.1479 | 1.4656 |
|
55 |
+
| No log | 0.2 | 8 | 1.5226 | 0.0014 | 1.5226 | 1.2340 |
|
56 |
+
| No log | 0.25 | 10 | 0.8722 | 0.0714 | 0.8722 | 0.9339 |
|
57 |
+
| No log | 0.3 | 12 | 0.8362 | -0.0264 | 0.8362 | 0.9144 |
|
58 |
+
| No log | 0.35 | 14 | 1.2668 | -0.0744 | 1.2668 | 1.1255 |
|
59 |
+
| No log | 0.4 | 16 | 2.4290 | -0.0305 | 2.4290 | 1.5585 |
|
60 |
+
| No log | 0.45 | 18 | 2.2510 | -0.0299 | 2.2510 | 1.5003 |
|
61 |
+
| No log | 0.5 | 20 | 1.2395 | -0.0500 | 1.2395 | 1.1133 |
|
62 |
+
| No log | 0.55 | 22 | 1.0327 | 0.0735 | 1.0327 | 1.0162 |
|
63 |
+
| No log | 0.6 | 24 | 0.9211 | 0.1374 | 0.9211 | 0.9597 |
|
64 |
+
| No log | 0.65 | 26 | 0.9035 | 0.0651 | 0.9035 | 0.9505 |
|
65 |
+
| No log | 0.7 | 28 | 0.9468 | 0.0196 | 0.9468 | 0.9730 |
|
66 |
+
| No log | 0.75 | 30 | 1.0873 | -0.0193 | 1.0873 | 1.0427 |
|
67 |
+
| No log | 0.8 | 32 | 1.0973 | -0.0490 | 1.0973 | 1.0475 |
|
68 |
+
| No log | 0.85 | 34 | 1.1334 | -0.0490 | 1.1334 | 1.0646 |
|
69 |
+
| No log | 0.9 | 36 | 1.1097 | -0.0736 | 1.1097 | 1.0534 |
|
70 |
+
| No log | 0.95 | 38 | 1.1091 | -0.0736 | 1.1091 | 1.0531 |
|
71 |
+
| No log | 1.0 | 40 | 0.9710 | -0.1289 | 0.9710 | 0.9854 |
|
72 |
+
| No log | 1.05 | 42 | 0.8849 | -0.0518 | 0.8849 | 0.9407 |
|
73 |
+
| No log | 1.1 | 44 | 1.0090 | -0.0398 | 1.0090 | 1.0045 |
|
74 |
+
| No log | 1.15 | 46 | 1.0081 | -0.0695 | 1.0081 | 1.0040 |
|
75 |
+
| No log | 1.2 | 48 | 1.0240 | -0.0149 | 1.0240 | 1.0119 |
|
76 |
+
| No log | 1.25 | 50 | 1.1165 | -0.0457 | 1.1165 | 1.0566 |
|
77 |
+
| No log | 1.3 | 52 | 1.7257 | -0.0234 | 1.7257 | 1.3136 |
|
78 |
+
| No log | 1.35 | 54 | 2.0120 | 0.0213 | 2.0120 | 1.4185 |
|
79 |
+
| No log | 1.4 | 56 | 1.5820 | -0.0234 | 1.5820 | 1.2578 |
|
80 |
+
| No log | 1.45 | 58 | 0.9980 | 0.0176 | 0.9980 | 0.9990 |
|
81 |
+
| No log | 1.5 | 60 | 0.7930 | -0.1236 | 0.7930 | 0.8905 |
|
82 |
+
| No log | 1.55 | 62 | 0.7940 | -0.1738 | 0.7940 | 0.8911 |
|
83 |
+
| No log | 1.6 | 64 | 0.8188 | -0.1251 | 0.8188 | 0.9049 |
|
84 |
+
| No log | 1.65 | 66 | 0.8699 | -0.0218 | 0.8699 | 0.9327 |
|
85 |
+
| No log | 1.7 | 68 | 1.0542 | -0.0468 | 1.0542 | 1.0267 |
|
86 |
+
| No log | 1.75 | 70 | 1.3178 | -0.0234 | 1.3178 | 1.1480 |
|
87 |
+
| No log | 1.8 | 72 | 1.3516 | -0.0234 | 1.3516 | 1.1626 |
|
88 |
+
| No log | 1.85 | 74 | 1.2642 | -0.0234 | 1.2642 | 1.1244 |
|
89 |
+
| No log | 1.9 | 76 | 1.1988 | -0.0207 | 1.1988 | 1.0949 |
|
90 |
+
| No log | 1.95 | 78 | 1.4454 | -0.0234 | 1.4454 | 1.2022 |
|
91 |
+
| No log | 2.0 | 80 | 1.5705 | -0.0234 | 1.5705 | 1.2532 |
|
92 |
+
| No log | 2.05 | 82 | 1.7435 | 0.0224 | 1.7435 | 1.3204 |
|
93 |
+
| No log | 2.1 | 84 | 1.8182 | 0.1052 | 1.8182 | 1.3484 |
|
94 |
+
| No log | 2.15 | 86 | 1.4009 | 0.0522 | 1.4009 | 1.1836 |
|
95 |
+
| No log | 2.2 | 88 | 0.8701 | -0.0200 | 0.8701 | 0.9328 |
|
96 |
+
| No log | 2.25 | 90 | 0.8598 | 0.1107 | 0.8598 | 0.9273 |
|
97 |
+
| No log | 2.3 | 92 | 1.1318 | 0.0552 | 1.1318 | 1.0639 |
|
98 |
+
| No log | 2.35 | 94 | 1.4298 | -0.0169 | 1.4298 | 1.1958 |
|
99 |
+
| No log | 2.4 | 96 | 1.7719 | -0.0035 | 1.7719 | 1.3311 |
|
100 |
+
| No log | 2.45 | 98 | 1.6684 | -0.0197 | 1.6684 | 1.2916 |
|
101 |
+
| No log | 2.5 | 100 | 1.0103 | 0.1846 | 1.0103 | 1.0051 |
|
102 |
+
| No log | 2.55 | 102 | 0.8119 | 0.1440 | 0.8119 | 0.9011 |
|
103 |
+
| No log | 2.6 | 104 | 0.9415 | 0.1896 | 0.9415 | 0.9703 |
|
104 |
+
| No log | 2.65 | 106 | 1.8861 | 0.0144 | 1.8861 | 1.3734 |
|
105 |
+
| No log | 2.7 | 108 | 1.9385 | 0.0100 | 1.9385 | 1.3923 |
|
106 |
+
| No log | 2.75 | 110 | 1.4843 | -0.0465 | 1.4843 | 1.2183 |
|
107 |
+
| No log | 2.8 | 112 | 0.9572 | 0.0498 | 0.9572 | 0.9783 |
|
108 |
+
| No log | 2.85 | 114 | 0.9575 | 0.0515 | 0.9575 | 0.9785 |
|
109 |
+
| No log | 2.9 | 116 | 1.1685 | -0.0345 | 1.1685 | 1.0810 |
|
110 |
+
| No log | 2.95 | 118 | 1.0505 | 0.0046 | 1.0505 | 1.0249 |
|
111 |
+
| No log | 3.0 | 120 | 0.8404 | 0.0442 | 0.8404 | 0.9167 |
|
112 |
+
| No log | 3.05 | 122 | 0.9039 | -0.0101 | 0.9039 | 0.9508 |
|
113 |
+
| No log | 3.1 | 124 | 1.0932 | 0.0061 | 1.0932 | 1.0456 |
|
114 |
+
| No log | 3.15 | 126 | 0.9439 | 0.0576 | 0.9439 | 0.9716 |
|
115 |
+
| No log | 3.2 | 128 | 0.7306 | 0.0414 | 0.7306 | 0.8547 |
|
116 |
+
| No log | 3.25 | 130 | 0.7530 | -0.0062 | 0.7530 | 0.8677 |
|
117 |
+
| No log | 3.3 | 132 | 1.2147 | 0.0059 | 1.2147 | 1.1021 |
|
118 |
+
| No log | 3.35 | 134 | 1.4358 | -0.0028 | 1.4358 | 1.1983 |
|
119 |
+
| No log | 3.4 | 136 | 0.9147 | 0.1190 | 0.9147 | 0.9564 |
|
120 |
+
| No log | 3.45 | 138 | 0.8571 | 0.1004 | 0.8571 | 0.9258 |
|
121 |
+
| No log | 3.5 | 140 | 0.7939 | 0.0660 | 0.7939 | 0.8910 |
|
122 |
+
| No log | 3.55 | 142 | 0.9006 | 0.1147 | 0.9006 | 0.9490 |
|
123 |
+
| No log | 3.6 | 144 | 1.0425 | 0.0492 | 1.0425 | 1.0210 |
|
124 |
+
| No log | 3.65 | 146 | 0.7761 | 0.0732 | 0.7761 | 0.8810 |
|
125 |
+
| No log | 3.7 | 148 | 0.7586 | 0.1199 | 0.7586 | 0.8710 |
|
126 |
+
| No log | 3.75 | 150 | 0.8089 | 0.1047 | 0.8089 | 0.8994 |
|
127 |
+
| No log | 3.8 | 152 | 0.8439 | 0.1387 | 0.8439 | 0.9187 |
|
128 |
+
| No log | 3.85 | 154 | 0.8281 | 0.1336 | 0.8281 | 0.9100 |
|
129 |
+
| No log | 3.9 | 156 | 0.7730 | 0.1199 | 0.7730 | 0.8792 |
|
130 |
+
| No log | 3.95 | 158 | 0.7686 | 0.0269 | 0.7686 | 0.8767 |
|
131 |
+
| No log | 4.0 | 160 | 0.7838 | 0.0289 | 0.7838 | 0.8853 |
|
132 |
+
| No log | 4.05 | 162 | 0.8709 | 0.0741 | 0.8709 | 0.9332 |
|
133 |
+
| No log | 4.1 | 164 | 0.9673 | 0.0885 | 0.9673 | 0.9835 |
|
134 |
+
| No log | 4.15 | 166 | 0.8567 | 0.0529 | 0.8567 | 0.9256 |
|
135 |
+
| No log | 4.2 | 168 | 0.7672 | 0.0978 | 0.7672 | 0.8759 |
|
136 |
+
| No log | 4.25 | 170 | 0.7568 | 0.0543 | 0.7568 | 0.8699 |
|
137 |
+
| No log | 4.3 | 172 | 0.7545 | 0.1030 | 0.7545 | 0.8686 |
|
138 |
+
| No log | 4.35 | 174 | 0.7599 | 0.1189 | 0.7599 | 0.8717 |
|
139 |
+
| No log | 4.4 | 176 | 0.7794 | 0.0611 | 0.7794 | 0.8828 |
|
140 |
+
| No log | 4.45 | 178 | 0.7299 | 0.0543 | 0.7299 | 0.8544 |
|
141 |
+
| No log | 4.5 | 180 | 0.7442 | 0.0089 | 0.7442 | 0.8626 |
|
142 |
+
| No log | 4.55 | 182 | 0.7792 | 0.0338 | 0.7792 | 0.8827 |
|
143 |
+
| No log | 4.6 | 184 | 0.8163 | 0.0269 | 0.8163 | 0.9035 |
|
144 |
+
| No log | 4.65 | 186 | 0.8130 | 0.0269 | 0.8130 | 0.9017 |
|
145 |
+
| No log | 4.7 | 188 | 0.7804 | -0.0912 | 0.7804 | 0.8834 |
|
146 |
+
| No log | 4.75 | 190 | 0.7917 | 0.0 | 0.7917 | 0.8898 |
|
147 |
+
| No log | 4.8 | 192 | 0.8124 | -0.0533 | 0.8124 | 0.9013 |
|
148 |
+
| No log | 4.85 | 194 | 0.8226 | -0.0549 | 0.8226 | 0.9070 |
|
149 |
+
| No log | 4.9 | 196 | 0.8317 | -0.0387 | 0.8317 | 0.9120 |
|
150 |
+
| No log | 4.95 | 198 | 0.8409 | 0.0056 | 0.8409 | 0.9170 |
|
151 |
+
| No log | 5.0 | 200 | 0.9602 | 0.0081 | 0.9602 | 0.9799 |
|
152 |
+
| No log | 5.05 | 202 | 1.5578 | -0.0927 | 1.5578 | 1.2481 |
|
153 |
+
| No log | 5.1 | 204 | 1.4374 | -0.0366 | 1.4374 | 1.1989 |
|
154 |
+
| No log | 5.15 | 206 | 0.9327 | 0.0062 | 0.9327 | 0.9658 |
|
155 |
+
| No log | 5.2 | 208 | 0.8426 | 0.1537 | 0.8426 | 0.9179 |
|
156 |
+
| No log | 5.25 | 210 | 0.9593 | 0.0465 | 0.9593 | 0.9794 |
|
157 |
+
| No log | 5.3 | 212 | 0.8509 | 0.1466 | 0.8509 | 0.9225 |
|
158 |
+
| No log | 5.35 | 214 | 0.7798 | -0.1116 | 0.7798 | 0.8831 |
|
159 |
+
| No log | 5.4 | 216 | 0.8301 | 0.0043 | 0.8301 | 0.9111 |
|
160 |
+
| No log | 5.45 | 218 | 0.7434 | -0.0612 | 0.7434 | 0.8622 |
|
161 |
+
| No log | 5.5 | 220 | 0.7901 | 0.0116 | 0.7901 | 0.8889 |
|
162 |
+
| No log | 5.55 | 222 | 0.8026 | -0.0798 | 0.8026 | 0.8959 |
|
163 |
+
| No log | 5.6 | 224 | 0.7562 | 0.0528 | 0.7562 | 0.8696 |
|
164 |
+
| No log | 5.65 | 226 | 0.8290 | -0.0283 | 0.8290 | 0.9105 |
|
165 |
+
| No log | 5.7 | 228 | 0.9703 | -0.0128 | 0.9703 | 0.9850 |
|
166 |
+
| No log | 5.75 | 230 | 0.8411 | -0.0303 | 0.8411 | 0.9171 |
|
167 |
+
| No log | 5.8 | 232 | 0.7918 | 0.0116 | 0.7918 | 0.8898 |
|
168 |
+
| No log | 5.85 | 234 | 0.8623 | -0.0061 | 0.8623 | 0.9286 |
|
169 |
+
| No log | 5.9 | 236 | 0.8824 | -0.0061 | 0.8824 | 0.9393 |
|
170 |
+
| No log | 5.95 | 238 | 0.8482 | -0.1045 | 0.8482 | 0.9210 |
|
171 |
+
| No log | 6.0 | 240 | 0.7918 | -0.0387 | 0.7918 | 0.8898 |
|
172 |
+
| No log | 6.05 | 242 | 0.9314 | 0.0336 | 0.9314 | 0.9651 |
|
173 |
+
| No log | 6.1 | 244 | 1.2443 | 0.0666 | 1.2443 | 1.1155 |
|
174 |
+
| No log | 6.15 | 246 | 1.1552 | 0.1043 | 1.1552 | 1.0748 |
|
175 |
+
| No log | 6.2 | 248 | 0.8977 | -0.0341 | 0.8977 | 0.9475 |
|
176 |
+
| No log | 6.25 | 250 | 0.7961 | 0.0116 | 0.7961 | 0.8922 |
|
177 |
+
| No log | 6.3 | 252 | 0.7840 | 0.0116 | 0.7840 | 0.8854 |
|
178 |
+
| No log | 6.35 | 254 | 0.8039 | -0.1459 | 0.8039 | 0.8966 |
|
179 |
+
| No log | 6.4 | 256 | 0.9199 | -0.0359 | 0.9199 | 0.9591 |
|
180 |
+
| No log | 6.45 | 258 | 1.0193 | 0.0627 | 1.0193 | 1.0096 |
|
181 |
+
| No log | 6.5 | 260 | 0.9275 | 0.0062 | 0.9275 | 0.9630 |
|
182 |
+
| No log | 6.55 | 262 | 0.8275 | 0.0135 | 0.8275 | 0.9097 |
|
183 |
+
| No log | 6.6 | 264 | 0.8362 | 0.0268 | 0.8362 | 0.9145 |
|
184 |
+
| No log | 6.65 | 266 | 0.8892 | -0.0363 | 0.8892 | 0.9430 |
|
185 |
+
| No log | 6.7 | 268 | 0.8392 | -0.0528 | 0.8392 | 0.9161 |
|
186 |
+
| No log | 6.75 | 270 | 0.8092 | 0.0030 | 0.8092 | 0.8996 |
|
187 |
+
| No log | 6.8 | 272 | 0.8861 | -0.1557 | 0.8861 | 0.9413 |
|
188 |
+
| No log | 6.85 | 274 | 0.9530 | -0.0854 | 0.9530 | 0.9762 |
|
189 |
+
| No log | 6.9 | 276 | 0.8476 | -0.0303 | 0.8476 | 0.9207 |
|
190 |
+
| No log | 6.95 | 278 | 0.7574 | -0.0030 | 0.7574 | 0.8703 |
|
191 |
+
| No log | 7.0 | 280 | 0.7765 | -0.1397 | 0.7765 | 0.8812 |
|
192 |
+
| No log | 7.05 | 282 | 0.8307 | -0.1045 | 0.8307 | 0.9114 |
|
193 |
+
| No log | 7.1 | 284 | 0.8350 | -0.0268 | 0.8350 | 0.9138 |
|
194 |
+
| No log | 7.15 | 286 | 1.0571 | -0.0504 | 1.0571 | 1.0281 |
|
195 |
+
| No log | 7.2 | 288 | 1.1950 | 0.0006 | 1.1950 | 1.0932 |
|
196 |
+
| No log | 7.25 | 290 | 0.9602 | -0.0118 | 0.9602 | 0.9799 |
|
197 |
+
| No log | 7.3 | 292 | 0.8245 | 0.0570 | 0.8245 | 0.9080 |
|
198 |
+
| No log | 7.35 | 294 | 1.0252 | 0.0175 | 1.0252 | 1.0125 |
|
199 |
+
| No log | 7.4 | 296 | 1.0258 | 0.0476 | 1.0258 | 1.0128 |
|
200 |
+
| No log | 7.45 | 298 | 0.8855 | -0.0941 | 0.8855 | 0.9410 |
|
201 |
+
| No log | 7.5 | 300 | 0.8090 | 0.0834 | 0.8090 | 0.8994 |
|
202 |
+
| No log | 7.55 | 302 | 0.9905 | -0.0440 | 0.9905 | 0.9952 |
|
203 |
+
| No log | 7.6 | 304 | 1.0509 | 0.0443 | 1.0509 | 1.0251 |
|
204 |
+
| No log | 7.65 | 306 | 0.9313 | -0.0787 | 0.9313 | 0.9650 |
|
205 |
+
| No log | 7.7 | 308 | 0.8171 | -0.1994 | 0.8171 | 0.9039 |
|
206 |
+
| No log | 7.75 | 310 | 0.7983 | -0.0532 | 0.7983 | 0.8935 |
|
207 |
+
| No log | 7.8 | 312 | 0.8142 | -0.2008 | 0.8142 | 0.9023 |
|
208 |
+
| No log | 7.85 | 314 | 0.8196 | 0.0061 | 0.8196 | 0.9053 |
|
209 |
+
| No log | 7.9 | 316 | 0.8456 | 0.0030 | 0.8456 | 0.9196 |
|
210 |
+
| No log | 7.95 | 318 | 0.8878 | -0.1515 | 0.8878 | 0.9423 |
|
211 |
+
| No log | 8.0 | 320 | 0.9298 | -0.0303 | 0.9298 | 0.9643 |
|
212 |
+
| No log | 8.05 | 322 | 0.9261 | -0.0359 | 0.9261 | 0.9624 |
|
213 |
+
| No log | 8.1 | 324 | 0.8904 | -0.0955 | 0.8904 | 0.9436 |
|
214 |
+
| No log | 8.15 | 326 | 0.8764 | -0.1277 | 0.8764 | 0.9362 |
|
215 |
+
| No log | 8.2 | 328 | 0.9198 | -0.0939 | 0.9198 | 0.9591 |
|
216 |
+
| No log | 8.25 | 330 | 0.9723 | -0.0690 | 0.9723 | 0.9861 |
|
217 |
+
| No log | 8.3 | 332 | 0.9964 | 0.0309 | 0.9964 | 0.9982 |
|
218 |
+
| No log | 8.35 | 334 | 0.9461 | 0.0421 | 0.9461 | 0.9727 |
|
219 |
+
| No log | 8.4 | 336 | 0.9206 | 0.0087 | 0.9206 | 0.9595 |
|
220 |
+
| No log | 8.45 | 338 | 0.9655 | 0.1147 | 0.9655 | 0.9826 |
|
221 |
+
| No log | 8.5 | 340 | 0.9827 | 0.0986 | 0.9827 | 0.9913 |
|
222 |
+
| No log | 8.55 | 342 | 0.8744 | 0.0956 | 0.8744 | 0.9351 |
|
223 |
+
| No log | 8.6 | 344 | 0.7491 | 0.0471 | 0.7491 | 0.8655 |
|
224 |
+
| No log | 8.65 | 346 | 0.7317 | 0.0061 | 0.7317 | 0.8554 |
|
225 |
+
| No log | 8.7 | 348 | 0.7638 | -0.0488 | 0.7638 | 0.8740 |
|
226 |
+
| No log | 8.75 | 350 | 0.8191 | -0.0163 | 0.8191 | 0.9050 |
|
227 |
+
| No log | 8.8 | 352 | 0.8401 | -0.0163 | 0.8401 | 0.9166 |
|
228 |
+
| No log | 8.85 | 354 | 0.8436 | -0.0138 | 0.8436 | 0.9185 |
|
229 |
+
| No log | 8.9 | 356 | 0.8878 | 0.0196 | 0.8878 | 0.9423 |
|
230 |
+
| No log | 8.95 | 358 | 1.0547 | -0.0521 | 1.0547 | 1.0270 |
|
231 |
+
| No log | 9.0 | 360 | 1.1025 | -0.0291 | 1.1025 | 1.0500 |
|
232 |
+
| No log | 9.05 | 362 | 1.0152 | -0.0211 | 1.0152 | 1.0076 |
|
233 |
+
| No log | 9.1 | 364 | 0.8608 | 0.0065 | 0.8608 | 0.9278 |
|
234 |
+
| No log | 9.15 | 366 | 0.7887 | 0.0323 | 0.7887 | 0.8881 |
|
235 |
+
| No log | 9.2 | 368 | 0.8048 | -0.0170 | 0.8048 | 0.8971 |
|
236 |
+
| No log | 9.25 | 370 | 0.8571 | 0.1239 | 0.8571 | 0.9258 |
|
237 |
+
| No log | 9.3 | 372 | 1.0086 | -0.0892 | 1.0086 | 1.0043 |
|
238 |
+
| No log | 9.35 | 374 | 1.0425 | -0.0586 | 1.0425 | 1.0210 |
|
239 |
+
| No log | 9.4 | 376 | 0.9674 | -0.0885 | 0.9674 | 0.9836 |
|
240 |
+
| No log | 9.45 | 378 | 0.9273 | -0.0076 | 0.9273 | 0.9630 |
|
241 |
+
| No log | 9.5 | 380 | 0.8926 | -0.0262 | 0.8926 | 0.9448 |
|
242 |
+
| No log | 9.55 | 382 | 0.9879 | -0.0526 | 0.9879 | 0.9940 |
|
243 |
+
| No log | 9.6 | 384 | 1.1174 | -0.0320 | 1.1174 | 1.0571 |
|
244 |
+
| No log | 9.65 | 386 | 1.1052 | -0.0320 | 1.1052 | 1.0513 |
|
245 |
+
| No log | 9.7 | 388 | 0.9658 | -0.1221 | 0.9658 | 0.9827 |
|
246 |
+
| No log | 9.75 | 390 | 0.8575 | -0.0870 | 0.8575 | 0.9260 |
|
247 |
+
| No log | 9.8 | 392 | 0.8695 | -0.0661 | 0.8695 | 0.9324 |
|
248 |
+
| No log | 9.85 | 394 | 0.8474 | -0.1268 | 0.8474 | 0.9206 |
|
249 |
+
| No log | 9.9 | 396 | 0.8693 | 0.0118 | 0.8693 | 0.9324 |
|
250 |
+
| No log | 9.95 | 398 | 1.0278 | 0.0404 | 1.0278 | 1.0138 |
|
251 |
+
| No log | 10.0 | 400 | 1.0613 | 0.0046 | 1.0613 | 1.0302 |
|
252 |
+
| No log | 10.05 | 402 | 0.9209 | -0.0837 | 0.9209 | 0.9597 |
|
253 |
+
| No log | 10.1 | 404 | 0.8518 | 0.0028 | 0.8518 | 0.9229 |
|
254 |
+
| No log | 10.15 | 406 | 0.8689 | 0.0151 | 0.8689 | 0.9322 |
|
255 |
+
| No log | 10.2 | 408 | 0.8612 | 0.0441 | 0.8612 | 0.9280 |
|
256 |
+
| No log | 10.25 | 410 | 0.8805 | 0.0196 | 0.8805 | 0.9384 |
|
257 |
+
| No log | 10.3 | 412 | 0.9635 | -0.1219 | 0.9635 | 0.9816 |
|
258 |
+
| No log | 10.35 | 414 | 1.0272 | -0.0513 | 1.0272 | 1.0135 |
|
259 |
+
| No log | 10.4 | 416 | 0.9633 | -0.1217 | 0.9633 | 0.9815 |
|
260 |
+
| No log | 10.45 | 418 | 0.8620 | 0.0393 | 0.8620 | 0.9284 |
|
261 |
+
| No log | 10.5 | 420 | 0.8430 | 0.0930 | 0.8430 | 0.9182 |
|
262 |
+
| No log | 10.55 | 422 | 0.8388 | 0.0700 | 0.8388 | 0.9159 |
|
263 |
+
| No log | 10.6 | 424 | 0.8456 | 0.0586 | 0.8456 | 0.9196 |
|
264 |
+
| No log | 10.65 | 426 | 0.8527 | 0.0091 | 0.8527 | 0.9234 |
|
265 |
+
| No log | 10.7 | 428 | 0.8836 | 0.0304 | 0.8836 | 0.9400 |
|
266 |
+
| No log | 10.75 | 430 | 0.8878 | 0.0676 | 0.8878 | 0.9422 |
|
267 |
+
| No log | 10.8 | 432 | 0.8878 | 0.0642 | 0.8878 | 0.9423 |
|
268 |
+
| No log | 10.85 | 434 | 0.8606 | 0.0642 | 0.8606 | 0.9277 |
|
269 |
+
| No log | 10.9 | 436 | 0.7905 | 0.1529 | 0.7905 | 0.8891 |
|
270 |
+
| No log | 10.95 | 438 | 0.8069 | -0.0061 | 0.8069 | 0.8983 |
|
271 |
+
| No log | 11.0 | 440 | 0.8349 | -0.0037 | 0.8349 | 0.9138 |
|
272 |
+
| No log | 11.05 | 442 | 0.8353 | 0.0879 | 0.8353 | 0.9139 |
|
273 |
+
| No log | 11.1 | 444 | 0.9289 | -0.0076 | 0.9289 | 0.9638 |
|
274 |
+
| No log | 11.15 | 446 | 1.0491 | -0.0236 | 1.0491 | 1.0243 |
|
275 |
+
| No log | 11.2 | 448 | 1.0305 | -0.0200 | 1.0305 | 1.0151 |
|
276 |
+
| No log | 11.25 | 450 | 0.9091 | -0.0097 | 0.9091 | 0.9534 |
|
277 |
+
| No log | 11.3 | 452 | 0.8672 | 0.0424 | 0.8672 | 0.9312 |
|
278 |
+
| No log | 11.35 | 454 | 0.8392 | 0.0690 | 0.8392 | 0.9161 |
|
279 |
+
| No log | 11.4 | 456 | 0.8383 | 0.0323 | 0.8383 | 0.9156 |
|
280 |
+
| No log | 11.45 | 458 | 0.8447 | 0.0289 | 0.8447 | 0.9191 |
|
281 |
+
| No log | 11.5 | 460 | 0.8464 | 0.0146 | 0.8464 | 0.9200 |
|
282 |
+
| No log | 11.55 | 462 | 0.8248 | -0.0274 | 0.8248 | 0.9082 |
|
283 |
+
| No log | 11.6 | 464 | 0.8170 | 0.0999 | 0.8170 | 0.9039 |
|
284 |
+
| No log | 11.65 | 466 | 0.7918 | -0.1106 | 0.7918 | 0.8898 |
|
285 |
+
| No log | 11.7 | 468 | 0.7661 | -0.0541 | 0.7661 | 0.8753 |
|
286 |
+
| No log | 11.75 | 470 | 0.7695 | -0.0541 | 0.7695 | 0.8772 |
|
287 |
+
| No log | 11.8 | 472 | 0.7919 | -0.0628 | 0.7919 | 0.8899 |
|
288 |
+
| No log | 11.85 | 474 | 0.9172 | -0.0031 | 0.9172 | 0.9577 |
|
289 |
+
| No log | 11.9 | 476 | 1.0509 | 0.0026 | 1.0509 | 1.0252 |
|
290 |
+
| No log | 11.95 | 478 | 1.0307 | 0.0086 | 1.0307 | 1.0152 |
|
291 |
+
| No log | 12.0 | 480 | 0.9044 | 0.0407 | 0.9044 | 0.9510 |
|
292 |
+
| No log | 12.05 | 482 | 0.8653 | 0.0139 | 0.8653 | 0.9302 |
|
293 |
+
| No log | 12.1 | 484 | 0.9013 | 0.0007 | 0.9013 | 0.9494 |
|
294 |
+
| No log | 12.15 | 486 | 0.8741 | -0.0037 | 0.8741 | 0.9349 |
|
295 |
+
| No log | 12.2 | 488 | 0.8161 | 0.0893 | 0.8161 | 0.9034 |
|
296 |
+
| No log | 12.25 | 490 | 0.8368 | 0.0146 | 0.8368 | 0.9148 |
|
297 |
+
| No log | 12.3 | 492 | 0.9056 | -0.0486 | 0.9056 | 0.9516 |
|
298 |
+
| No log | 12.35 | 494 | 0.8654 | 0.0424 | 0.8654 | 0.9303 |
|
299 |
+
| No log | 12.4 | 496 | 0.8424 | 0.0913 | 0.8424 | 0.9178 |
|
300 |
+
| No log | 12.45 | 498 | 0.7820 | -0.0170 | 0.7820 | 0.8843 |
|
301 |
+
| 0.3498 | 12.5 | 500 | 0.7561 | -0.0118 | 0.7561 | 0.8695 |
|
302 |
+
| 0.3498 | 12.55 | 502 | 0.7464 | -0.0062 | 0.7464 | 0.8640 |
|
303 |
+
| 0.3498 | 12.6 | 504 | 0.7905 | -0.0406 | 0.7905 | 0.8891 |
|
304 |
+
| 0.3498 | 12.65 | 506 | 0.8108 | -0.0385 | 0.8108 | 0.9005 |
|
305 |
+
| 0.3498 | 12.7 | 508 | 0.7808 | -0.0406 | 0.7808 | 0.8836 |
|
306 |
+
| 0.3498 | 12.75 | 510 | 0.7581 | 0.0414 | 0.7581 | 0.8707 |
|
307 |
+
| 0.3498 | 12.8 | 512 | 0.9350 | 0.1193 | 0.9350 | 0.9669 |
|
308 |
+
| 0.3498 | 12.85 | 514 | 1.1432 | -0.0586 | 1.1432 | 1.0692 |
|
309 |
+
| 0.3498 | 12.9 | 516 | 1.0655 | -0.0539 | 1.0655 | 1.0323 |
|
310 |
+
| 0.3498 | 12.95 | 518 | 0.8714 | -0.0283 | 0.8714 | 0.9335 |
|
311 |
+
| 0.3498 | 13.0 | 520 | 0.8390 | 0.0145 | 0.8390 | 0.9160 |
|
312 |
+
| 0.3498 | 13.05 | 522 | 0.8596 | 0.0123 | 0.8596 | 0.9271 |
|
313 |
+
| 0.3498 | 13.1 | 524 | 0.8658 | -0.0711 | 0.8658 | 0.9305 |
|
314 |
+
| 0.3498 | 13.15 | 526 | 0.8738 | -0.2236 | 0.8738 | 0.9347 |
|
315 |
+
| 0.3498 | 13.2 | 528 | 0.9604 | 0.0250 | 0.9604 | 0.9800 |
|
316 |
+
| 0.3498 | 13.25 | 530 | 1.0659 | -0.0597 | 1.0659 | 1.0324 |
|
317 |
+
| 0.3498 | 13.3 | 532 | 1.0364 | -0.0228 | 1.0364 | 1.0180 |
|
318 |
+
| 0.3498 | 13.35 | 534 | 0.9549 | 0.0618 | 0.9549 | 0.9772 |
|
319 |
+
| 0.3498 | 13.4 | 536 | 0.8319 | -0.1126 | 0.8319 | 0.9121 |
|
320 |
+
| 0.3498 | 13.45 | 538 | 0.8076 | 0.0926 | 0.8076 | 0.8986 |
|
321 |
+
| 0.3498 | 13.5 | 540 | 0.8095 | -0.0506 | 0.8095 | 0.8997 |
|
322 |
+
| 0.3498 | 13.55 | 542 | 0.8087 | -0.1610 | 0.8087 | 0.8993 |
|
323 |
+
| 0.3498 | 13.6 | 544 | 0.8168 | -0.1580 | 0.8168 | 0.9038 |
|
324 |
+
| 0.3498 | 13.65 | 546 | 0.8663 | 0.0118 | 0.8663 | 0.9308 |
|
325 |
+
| 0.3498 | 13.7 | 548 | 0.9022 | 0.0040 | 0.9022 | 0.9498 |
|
326 |
+
| 0.3498 | 13.75 | 550 | 0.9149 | 0.0040 | 0.9149 | 0.9565 |
|
327 |
+
| 0.3498 | 13.8 | 552 | 0.8510 | 0.0118 | 0.8510 | 0.9225 |
|
328 |
+
| 0.3498 | 13.85 | 554 | 0.7843 | 0.0922 | 0.7843 | 0.8856 |
|
329 |
+
| 0.3498 | 13.9 | 556 | 0.7707 | 0.0978 | 0.7707 | 0.8779 |
|
330 |
+
| 0.3498 | 13.95 | 558 | 0.7391 | 0.0414 | 0.7391 | 0.8597 |
|
331 |
+
| 0.3498 | 14.0 | 560 | 0.7452 | 0.0338 | 0.7452 | 0.8633 |
|
332 |
+
| 0.3498 | 14.05 | 562 | 0.7955 | 0.0611 | 0.7955 | 0.8919 |
|
333 |
+
| 0.3498 | 14.1 | 564 | 0.8945 | 0.0407 | 0.8945 | 0.9458 |
|
334 |
+
| 0.3498 | 14.15 | 566 | 0.9827 | -0.0118 | 0.9827 | 0.9913 |
|
335 |
+
| 0.3498 | 14.2 | 568 | 0.9865 | -0.1230 | 0.9865 | 0.9932 |
|
336 |
+
| 0.3498 | 14.25 | 570 | 0.9572 | -0.2310 | 0.9572 | 0.9784 |
|
337 |
+
| 0.3498 | 14.3 | 572 | 0.9056 | -0.0743 | 0.9056 | 0.9516 |
|
338 |
+
| 0.3498 | 14.35 | 574 | 0.8606 | -0.0170 | 0.8606 | 0.9277 |
|
339 |
+
| 0.3498 | 14.4 | 576 | 0.8375 | -0.1860 | 0.8375 | 0.9151 |
|
340 |
+
|
341 |
+
|
342 |
+
### Framework versions
|
343 |
+
|
344 |
+
- Transformers 4.44.2
|
345 |
+
- Pytorch 2.4.0+cu118
|
346 |
+
- Datasets 2.21.0
|
347 |
+
- Tokenizers 0.19.1
|
config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "aubmindlab/bert-base-arabertv02",
|
3 |
+
"architectures": [
|
4 |
+
"BertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.1,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"id2label": {
|
12 |
+
"0": "LABEL_0"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 3072,
|
16 |
+
"label2id": {
|
17 |
+
"LABEL_0": 0
|
18 |
+
},
|
19 |
+
"layer_norm_eps": 1e-12,
|
20 |
+
"max_position_embeddings": 512,
|
21 |
+
"model_type": "bert",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 12,
|
24 |
+
"pad_token_id": 0,
|
25 |
+
"position_embedding_type": "absolute",
|
26 |
+
"problem_type": "regression",
|
27 |
+
"torch_dtype": "float32",
|
28 |
+
"transformers_version": "4.44.2",
|
29 |
+
"type_vocab_size": 2,
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 64000
|
32 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3d3790fbbe2891b3ab77c6f94c147221dd0bbba12a3fb18974e2be3e1fec9fb1
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e55fe03df712b75ff074a0efd98a249e7ea055b70aac714acfc0edb44da254a2
|
3 |
+
size 5304
|