Training in progress, step 500
Browse files- README.md +339 -0
- config.json +32 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,339 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
base_model: aubmindlab/bert-base-arabertv02
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
model-index:
|
7 |
+
- name: ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k8_task2_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 |
+
# ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k8_task2_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: 0.6070
|
19 |
+
- Qwk: 0.4930
|
20 |
+
- Mse: 0.6070
|
21 |
+
- Rmse: 0.7791
|
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 | 0.0455 | 2 | 4.2134 | -0.0329 | 4.2134 | 2.0527 |
|
53 |
+
| No log | 0.0909 | 4 | 2.5122 | 0.0475 | 2.5122 | 1.5850 |
|
54 |
+
| No log | 0.1364 | 6 | 1.7181 | -0.0306 | 1.7181 | 1.3108 |
|
55 |
+
| No log | 0.1818 | 8 | 0.9977 | -0.0545 | 0.9977 | 0.9989 |
|
56 |
+
| No log | 0.2273 | 10 | 0.8508 | 0.2136 | 0.8508 | 0.9224 |
|
57 |
+
| No log | 0.2727 | 12 | 0.8035 | 0.2693 | 0.8035 | 0.8964 |
|
58 |
+
| No log | 0.3182 | 14 | 0.8792 | 0.0856 | 0.8792 | 0.9377 |
|
59 |
+
| No log | 0.3636 | 16 | 0.9289 | 0.1073 | 0.9289 | 0.9638 |
|
60 |
+
| No log | 0.4091 | 18 | 0.9970 | 0.1107 | 0.9970 | 0.9985 |
|
61 |
+
| No log | 0.4545 | 20 | 0.8386 | 0.1533 | 0.8386 | 0.9157 |
|
62 |
+
| No log | 0.5 | 22 | 0.8142 | 0.2669 | 0.8142 | 0.9023 |
|
63 |
+
| No log | 0.5455 | 24 | 0.7965 | 0.1933 | 0.7965 | 0.8925 |
|
64 |
+
| No log | 0.5909 | 26 | 0.7787 | 0.2350 | 0.7787 | 0.8824 |
|
65 |
+
| No log | 0.6364 | 28 | 0.7836 | 0.2258 | 0.7836 | 0.8852 |
|
66 |
+
| No log | 0.6818 | 30 | 0.7930 | 0.2646 | 0.7930 | 0.8905 |
|
67 |
+
| No log | 0.7273 | 32 | 0.7722 | 0.2552 | 0.7722 | 0.8787 |
|
68 |
+
| No log | 0.7727 | 34 | 0.7279 | 0.2598 | 0.7279 | 0.8531 |
|
69 |
+
| No log | 0.8182 | 36 | 0.7809 | 0.3297 | 0.7809 | 0.8837 |
|
70 |
+
| No log | 0.8636 | 38 | 0.7802 | 0.3297 | 0.7802 | 0.8833 |
|
71 |
+
| No log | 0.9091 | 40 | 0.7330 | 0.2915 | 0.7330 | 0.8561 |
|
72 |
+
| No log | 0.9545 | 42 | 0.7437 | 0.3006 | 0.7437 | 0.8624 |
|
73 |
+
| No log | 1.0 | 44 | 0.7982 | 0.2964 | 0.7982 | 0.8934 |
|
74 |
+
| No log | 1.0455 | 46 | 0.8986 | 0.1885 | 0.8986 | 0.9480 |
|
75 |
+
| No log | 1.0909 | 48 | 0.9627 | 0.1292 | 0.9627 | 0.9812 |
|
76 |
+
| No log | 1.1364 | 50 | 0.8809 | 0.1470 | 0.8809 | 0.9385 |
|
77 |
+
| No log | 1.1818 | 52 | 0.8269 | 0.2468 | 0.8269 | 0.9094 |
|
78 |
+
| No log | 1.2273 | 54 | 0.7796 | 0.3163 | 0.7796 | 0.8830 |
|
79 |
+
| No log | 1.2727 | 56 | 0.7467 | 0.2693 | 0.7467 | 0.8641 |
|
80 |
+
| No log | 1.3182 | 58 | 0.7813 | 0.1383 | 0.7813 | 0.8839 |
|
81 |
+
| No log | 1.3636 | 60 | 0.7866 | 0.2513 | 0.7866 | 0.8869 |
|
82 |
+
| No log | 1.4091 | 62 | 0.8338 | 0.2741 | 0.8338 | 0.9131 |
|
83 |
+
| No log | 1.4545 | 64 | 0.9445 | 0.2232 | 0.9445 | 0.9719 |
|
84 |
+
| No log | 1.5 | 66 | 0.9690 | 0.2921 | 0.9690 | 0.9844 |
|
85 |
+
| No log | 1.5455 | 68 | 0.8451 | 0.3334 | 0.8451 | 0.9193 |
|
86 |
+
| No log | 1.5909 | 70 | 0.8047 | 0.3326 | 0.8047 | 0.8970 |
|
87 |
+
| No log | 1.6364 | 72 | 0.8384 | 0.3295 | 0.8384 | 0.9156 |
|
88 |
+
| No log | 1.6818 | 74 | 0.7901 | 0.3789 | 0.7901 | 0.8889 |
|
89 |
+
| No log | 1.7273 | 76 | 0.7386 | 0.3718 | 0.7386 | 0.8594 |
|
90 |
+
| No log | 1.7727 | 78 | 0.7428 | 0.4 | 0.7428 | 0.8619 |
|
91 |
+
| No log | 1.8182 | 80 | 0.7700 | 0.3881 | 0.7700 | 0.8775 |
|
92 |
+
| No log | 1.8636 | 82 | 0.7675 | 0.4123 | 0.7675 | 0.8761 |
|
93 |
+
| No log | 1.9091 | 84 | 0.8626 | 0.3782 | 0.8626 | 0.9288 |
|
94 |
+
| No log | 1.9545 | 86 | 0.9209 | 0.3365 | 0.9209 | 0.9597 |
|
95 |
+
| No log | 2.0 | 88 | 0.7254 | 0.4101 | 0.7254 | 0.8517 |
|
96 |
+
| No log | 2.0455 | 90 | 0.7523 | 0.3215 | 0.7523 | 0.8674 |
|
97 |
+
| No log | 2.0909 | 92 | 0.8101 | 0.3812 | 0.8101 | 0.9000 |
|
98 |
+
| No log | 2.1364 | 94 | 0.7158 | 0.3055 | 0.7158 | 0.8460 |
|
99 |
+
| No log | 2.1818 | 96 | 0.6817 | 0.4276 | 0.6817 | 0.8256 |
|
100 |
+
| No log | 2.2273 | 98 | 0.8512 | 0.3921 | 0.8512 | 0.9226 |
|
101 |
+
| No log | 2.2727 | 100 | 1.0522 | 0.3557 | 1.0522 | 1.0258 |
|
102 |
+
| No log | 2.3182 | 102 | 0.9579 | 0.4010 | 0.9579 | 0.9787 |
|
103 |
+
| No log | 2.3636 | 104 | 0.8826 | 0.4003 | 0.8826 | 0.9395 |
|
104 |
+
| No log | 2.4091 | 106 | 0.8532 | 0.4165 | 0.8532 | 0.9237 |
|
105 |
+
| No log | 2.4545 | 108 | 0.8630 | 0.4411 | 0.8630 | 0.9290 |
|
106 |
+
| No log | 2.5 | 110 | 0.9055 | 0.4065 | 0.9055 | 0.9516 |
|
107 |
+
| No log | 2.5455 | 112 | 0.8943 | 0.4430 | 0.8943 | 0.9457 |
|
108 |
+
| No log | 2.5909 | 114 | 0.8591 | 0.4328 | 0.8591 | 0.9269 |
|
109 |
+
| No log | 2.6364 | 116 | 0.8641 | 0.4874 | 0.8641 | 0.9296 |
|
110 |
+
| No log | 2.6818 | 118 | 0.8761 | 0.4909 | 0.8761 | 0.9360 |
|
111 |
+
| No log | 2.7273 | 120 | 0.8803 | 0.4823 | 0.8803 | 0.9383 |
|
112 |
+
| No log | 2.7727 | 122 | 0.8450 | 0.4916 | 0.8450 | 0.9192 |
|
113 |
+
| No log | 2.8182 | 124 | 0.8002 | 0.4993 | 0.8002 | 0.8946 |
|
114 |
+
| No log | 2.8636 | 126 | 0.7813 | 0.5087 | 0.7813 | 0.8839 |
|
115 |
+
| No log | 2.9091 | 128 | 0.8206 | 0.4841 | 0.8206 | 0.9059 |
|
116 |
+
| No log | 2.9545 | 130 | 0.7992 | 0.4382 | 0.7992 | 0.8940 |
|
117 |
+
| No log | 3.0 | 132 | 0.7113 | 0.4855 | 0.7113 | 0.8434 |
|
118 |
+
| No log | 3.0455 | 134 | 0.6716 | 0.4650 | 0.6716 | 0.8195 |
|
119 |
+
| No log | 3.0909 | 136 | 0.6976 | 0.4784 | 0.6976 | 0.8352 |
|
120 |
+
| No log | 3.1364 | 138 | 0.9340 | 0.3960 | 0.9340 | 0.9664 |
|
121 |
+
| No log | 3.1818 | 140 | 0.9521 | 0.3938 | 0.9521 | 0.9758 |
|
122 |
+
| No log | 3.2273 | 142 | 0.7104 | 0.4844 | 0.7104 | 0.8429 |
|
123 |
+
| No log | 3.2727 | 144 | 0.7134 | 0.4701 | 0.7134 | 0.8447 |
|
124 |
+
| No log | 3.3182 | 146 | 0.7537 | 0.4666 | 0.7537 | 0.8681 |
|
125 |
+
| No log | 3.3636 | 148 | 0.7434 | 0.4236 | 0.7434 | 0.8622 |
|
126 |
+
| No log | 3.4091 | 150 | 0.6706 | 0.4890 | 0.6706 | 0.8189 |
|
127 |
+
| No log | 3.4545 | 152 | 0.6421 | 0.5344 | 0.6421 | 0.8013 |
|
128 |
+
| No log | 3.5 | 154 | 0.6635 | 0.5369 | 0.6635 | 0.8146 |
|
129 |
+
| No log | 3.5455 | 156 | 0.7626 | 0.4680 | 0.7626 | 0.8733 |
|
130 |
+
| No log | 3.5909 | 158 | 0.7690 | 0.4766 | 0.7690 | 0.8769 |
|
131 |
+
| No log | 3.6364 | 160 | 0.6628 | 0.4926 | 0.6628 | 0.8141 |
|
132 |
+
| No log | 3.6818 | 162 | 0.6860 | 0.5543 | 0.6860 | 0.8283 |
|
133 |
+
| No log | 3.7273 | 164 | 0.6927 | 0.5577 | 0.6927 | 0.8323 |
|
134 |
+
| No log | 3.7727 | 166 | 0.7105 | 0.5767 | 0.7105 | 0.8429 |
|
135 |
+
| No log | 3.8182 | 168 | 0.7093 | 0.5220 | 0.7093 | 0.8422 |
|
136 |
+
| No log | 3.8636 | 170 | 0.6870 | 0.5514 | 0.6870 | 0.8289 |
|
137 |
+
| No log | 3.9091 | 172 | 0.7050 | 0.4827 | 0.7050 | 0.8397 |
|
138 |
+
| No log | 3.9545 | 174 | 0.6903 | 0.5404 | 0.6903 | 0.8308 |
|
139 |
+
| No log | 4.0 | 176 | 0.6714 | 0.5257 | 0.6714 | 0.8194 |
|
140 |
+
| No log | 4.0455 | 178 | 0.6628 | 0.4978 | 0.6628 | 0.8141 |
|
141 |
+
| No log | 4.0909 | 180 | 0.6489 | 0.4650 | 0.6489 | 0.8056 |
|
142 |
+
| No log | 4.1364 | 182 | 0.6449 | 0.5082 | 0.6449 | 0.8031 |
|
143 |
+
| No log | 4.1818 | 184 | 0.6843 | 0.5050 | 0.6843 | 0.8272 |
|
144 |
+
| No log | 4.2273 | 186 | 0.6674 | 0.5181 | 0.6674 | 0.8169 |
|
145 |
+
| No log | 4.2727 | 188 | 0.7404 | 0.4468 | 0.7404 | 0.8604 |
|
146 |
+
| No log | 4.3182 | 190 | 0.7319 | 0.4474 | 0.7319 | 0.8555 |
|
147 |
+
| No log | 4.3636 | 192 | 0.7275 | 0.5410 | 0.7275 | 0.8530 |
|
148 |
+
| No log | 4.4091 | 194 | 0.8180 | 0.4490 | 0.8180 | 0.9045 |
|
149 |
+
| No log | 4.4545 | 196 | 0.9551 | 0.3967 | 0.9551 | 0.9773 |
|
150 |
+
| No log | 4.5 | 198 | 0.8439 | 0.4598 | 0.8439 | 0.9186 |
|
151 |
+
| No log | 4.5455 | 200 | 0.6741 | 0.496 | 0.6741 | 0.8210 |
|
152 |
+
| No log | 4.5909 | 202 | 0.6386 | 0.4955 | 0.6386 | 0.7992 |
|
153 |
+
| No log | 4.6364 | 204 | 0.6210 | 0.4635 | 0.6210 | 0.7881 |
|
154 |
+
| No log | 4.6818 | 206 | 0.6323 | 0.4732 | 0.6323 | 0.7951 |
|
155 |
+
| No log | 4.7273 | 208 | 0.7151 | 0.4688 | 0.7151 | 0.8456 |
|
156 |
+
| No log | 4.7727 | 210 | 0.8688 | 0.4087 | 0.8688 | 0.9321 |
|
157 |
+
| No log | 4.8182 | 212 | 0.8131 | 0.4516 | 0.8131 | 0.9017 |
|
158 |
+
| No log | 4.8636 | 214 | 0.6852 | 0.4192 | 0.6852 | 0.8278 |
|
159 |
+
| No log | 4.9091 | 216 | 0.6989 | 0.4187 | 0.6989 | 0.8360 |
|
160 |
+
| No log | 4.9545 | 218 | 0.7324 | 0.4450 | 0.7324 | 0.8558 |
|
161 |
+
| No log | 5.0 | 220 | 0.7032 | 0.4091 | 0.7032 | 0.8386 |
|
162 |
+
| No log | 5.0455 | 222 | 0.6622 | 0.4180 | 0.6622 | 0.8138 |
|
163 |
+
| No log | 5.0909 | 224 | 0.6590 | 0.4361 | 0.6590 | 0.8118 |
|
164 |
+
| No log | 5.1364 | 226 | 0.6829 | 0.4945 | 0.6829 | 0.8263 |
|
165 |
+
| No log | 5.1818 | 228 | 0.7215 | 0.4559 | 0.7215 | 0.8494 |
|
166 |
+
| No log | 5.2273 | 230 | 0.6951 | 0.4614 | 0.6951 | 0.8337 |
|
167 |
+
| No log | 5.2727 | 232 | 0.6702 | 0.4722 | 0.6702 | 0.8187 |
|
168 |
+
| No log | 5.3182 | 234 | 0.6648 | 0.4647 | 0.6648 | 0.8154 |
|
169 |
+
| No log | 5.3636 | 236 | 0.6728 | 0.4838 | 0.6728 | 0.8203 |
|
170 |
+
| No log | 5.4091 | 238 | 0.6762 | 0.4507 | 0.6762 | 0.8223 |
|
171 |
+
| No log | 5.4545 | 240 | 0.6592 | 0.4854 | 0.6592 | 0.8119 |
|
172 |
+
| No log | 5.5 | 242 | 0.6481 | 0.4825 | 0.6481 | 0.8051 |
|
173 |
+
| No log | 5.5455 | 244 | 0.6659 | 0.4888 | 0.6659 | 0.8160 |
|
174 |
+
| No log | 5.5909 | 246 | 0.6772 | 0.4658 | 0.6772 | 0.8229 |
|
175 |
+
| No log | 5.6364 | 248 | 0.7431 | 0.4608 | 0.7431 | 0.8620 |
|
176 |
+
| No log | 5.6818 | 250 | 0.6734 | 0.4785 | 0.6734 | 0.8206 |
|
177 |
+
| No log | 5.7273 | 252 | 0.6106 | 0.5638 | 0.6106 | 0.7814 |
|
178 |
+
| No log | 5.7727 | 254 | 0.6448 | 0.4662 | 0.6448 | 0.8030 |
|
179 |
+
| No log | 5.8182 | 256 | 0.6234 | 0.5257 | 0.6234 | 0.7896 |
|
180 |
+
| No log | 5.8636 | 258 | 0.6436 | 0.4916 | 0.6436 | 0.8022 |
|
181 |
+
| No log | 5.9091 | 260 | 0.6940 | 0.4912 | 0.6940 | 0.8331 |
|
182 |
+
| No log | 5.9545 | 262 | 0.6665 | 0.4904 | 0.6665 | 0.8164 |
|
183 |
+
| No log | 6.0 | 264 | 0.6288 | 0.5349 | 0.6288 | 0.7930 |
|
184 |
+
| No log | 6.0455 | 266 | 0.6177 | 0.5314 | 0.6177 | 0.7860 |
|
185 |
+
| No log | 6.0909 | 268 | 0.5964 | 0.5182 | 0.5964 | 0.7723 |
|
186 |
+
| No log | 6.1364 | 270 | 0.6197 | 0.5105 | 0.6197 | 0.7872 |
|
187 |
+
| No log | 6.1818 | 272 | 0.6182 | 0.5013 | 0.6182 | 0.7863 |
|
188 |
+
| No log | 6.2273 | 274 | 0.6060 | 0.4977 | 0.6060 | 0.7784 |
|
189 |
+
| No log | 6.2727 | 276 | 0.6203 | 0.4828 | 0.6203 | 0.7876 |
|
190 |
+
| No log | 6.3182 | 278 | 0.6056 | 0.4886 | 0.6056 | 0.7782 |
|
191 |
+
| No log | 6.3636 | 280 | 0.5999 | 0.4913 | 0.5999 | 0.7745 |
|
192 |
+
| No log | 6.4091 | 282 | 0.6279 | 0.4684 | 0.6279 | 0.7924 |
|
193 |
+
| No log | 6.4545 | 284 | 0.6089 | 0.5595 | 0.6089 | 0.7803 |
|
194 |
+
| No log | 6.5 | 286 | 0.6448 | 0.4791 | 0.6448 | 0.8030 |
|
195 |
+
| No log | 6.5455 | 288 | 0.6310 | 0.5025 | 0.6310 | 0.7944 |
|
196 |
+
| No log | 6.5909 | 290 | 0.6074 | 0.5492 | 0.6074 | 0.7794 |
|
197 |
+
| No log | 6.6364 | 292 | 0.6068 | 0.5409 | 0.6068 | 0.7790 |
|
198 |
+
| No log | 6.6818 | 294 | 0.5972 | 0.4529 | 0.5972 | 0.7728 |
|
199 |
+
| No log | 6.7273 | 296 | 0.5964 | 0.4663 | 0.5964 | 0.7723 |
|
200 |
+
| No log | 6.7727 | 298 | 0.5952 | 0.4673 | 0.5952 | 0.7715 |
|
201 |
+
| No log | 6.8182 | 300 | 0.5948 | 0.4710 | 0.5948 | 0.7712 |
|
202 |
+
| No log | 6.8636 | 302 | 0.6414 | 0.5003 | 0.6414 | 0.8009 |
|
203 |
+
| No log | 6.9091 | 304 | 0.7323 | 0.4604 | 0.7323 | 0.8558 |
|
204 |
+
| No log | 6.9545 | 306 | 0.6861 | 0.5347 | 0.6861 | 0.8283 |
|
205 |
+
| No log | 7.0 | 308 | 0.6391 | 0.4710 | 0.6391 | 0.7994 |
|
206 |
+
| No log | 7.0455 | 310 | 0.7044 | 0.48 | 0.7044 | 0.8393 |
|
207 |
+
| No log | 7.0909 | 312 | 0.6578 | 0.4619 | 0.6578 | 0.8111 |
|
208 |
+
| No log | 7.1364 | 314 | 0.5961 | 0.5181 | 0.5961 | 0.7721 |
|
209 |
+
| No log | 7.1818 | 316 | 0.6105 | 0.4621 | 0.6105 | 0.7814 |
|
210 |
+
| No log | 7.2273 | 318 | 0.5932 | 0.5095 | 0.5932 | 0.7702 |
|
211 |
+
| No log | 7.2727 | 320 | 0.5881 | 0.5547 | 0.5881 | 0.7669 |
|
212 |
+
| No log | 7.3182 | 322 | 0.6924 | 0.5215 | 0.6924 | 0.8321 |
|
213 |
+
| No log | 7.3636 | 324 | 0.8235 | 0.4467 | 0.8235 | 0.9075 |
|
214 |
+
| No log | 7.4091 | 326 | 0.7985 | 0.4555 | 0.7985 | 0.8936 |
|
215 |
+
| No log | 7.4545 | 328 | 0.6611 | 0.5143 | 0.6611 | 0.8131 |
|
216 |
+
| No log | 7.5 | 330 | 0.5828 | 0.5310 | 0.5828 | 0.7634 |
|
217 |
+
| No log | 7.5455 | 332 | 0.5832 | 0.4832 | 0.5832 | 0.7637 |
|
218 |
+
| No log | 7.5909 | 334 | 0.5881 | 0.5361 | 0.5881 | 0.7669 |
|
219 |
+
| No log | 7.6364 | 336 | 0.6486 | 0.5026 | 0.6486 | 0.8054 |
|
220 |
+
| No log | 7.6818 | 338 | 0.7584 | 0.4782 | 0.7584 | 0.8709 |
|
221 |
+
| No log | 7.7273 | 340 | 0.7394 | 0.5039 | 0.7394 | 0.8599 |
|
222 |
+
| No log | 7.7727 | 342 | 0.6313 | 0.5325 | 0.6313 | 0.7945 |
|
223 |
+
| No log | 7.8182 | 344 | 0.5940 | 0.5365 | 0.5940 | 0.7707 |
|
224 |
+
| No log | 7.8636 | 346 | 0.5865 | 0.4297 | 0.5865 | 0.7658 |
|
225 |
+
| No log | 7.9091 | 348 | 0.5846 | 0.4170 | 0.5846 | 0.7646 |
|
226 |
+
| No log | 7.9545 | 350 | 0.6003 | 0.5515 | 0.6003 | 0.7748 |
|
227 |
+
| No log | 8.0 | 352 | 0.6352 | 0.5323 | 0.6352 | 0.7970 |
|
228 |
+
| No log | 8.0455 | 354 | 0.6212 | 0.5063 | 0.6212 | 0.7882 |
|
229 |
+
| No log | 8.0909 | 356 | 0.6206 | 0.5882 | 0.6206 | 0.7878 |
|
230 |
+
| No log | 8.1364 | 358 | 0.6264 | 0.5662 | 0.6264 | 0.7915 |
|
231 |
+
| No log | 8.1818 | 360 | 0.6113 | 0.5365 | 0.6113 | 0.7819 |
|
232 |
+
| No log | 8.2273 | 362 | 0.6029 | 0.5357 | 0.6029 | 0.7765 |
|
233 |
+
| No log | 8.2727 | 364 | 0.5879 | 0.4861 | 0.5879 | 0.7668 |
|
234 |
+
| No log | 8.3182 | 366 | 0.5889 | 0.4861 | 0.5889 | 0.7674 |
|
235 |
+
| No log | 8.3636 | 368 | 0.6136 | 0.4793 | 0.6136 | 0.7833 |
|
236 |
+
| No log | 8.4091 | 370 | 0.6643 | 0.4889 | 0.6643 | 0.8150 |
|
237 |
+
| No log | 8.4545 | 372 | 0.6410 | 0.4946 | 0.6410 | 0.8006 |
|
238 |
+
| No log | 8.5 | 374 | 0.6011 | 0.4693 | 0.6011 | 0.7753 |
|
239 |
+
| No log | 8.5455 | 376 | 0.6598 | 0.5239 | 0.6598 | 0.8123 |
|
240 |
+
| No log | 8.5909 | 378 | 0.7358 | 0.4668 | 0.7358 | 0.8578 |
|
241 |
+
| No log | 8.6364 | 380 | 0.6975 | 0.4837 | 0.6975 | 0.8352 |
|
242 |
+
| No log | 8.6818 | 382 | 0.6211 | 0.4985 | 0.6211 | 0.7881 |
|
243 |
+
| No log | 8.7273 | 384 | 0.5859 | 0.4821 | 0.5859 | 0.7654 |
|
244 |
+
| No log | 8.7727 | 386 | 0.6093 | 0.4537 | 0.6093 | 0.7806 |
|
245 |
+
| No log | 8.8182 | 388 | 0.6205 | 0.4828 | 0.6205 | 0.7877 |
|
246 |
+
| No log | 8.8636 | 390 | 0.5971 | 0.5061 | 0.5971 | 0.7728 |
|
247 |
+
| No log | 8.9091 | 392 | 0.6863 | 0.5132 | 0.6863 | 0.8284 |
|
248 |
+
| No log | 8.9545 | 394 | 0.7948 | 0.4598 | 0.7948 | 0.8915 |
|
249 |
+
| No log | 9.0 | 396 | 0.7604 | 0.5039 | 0.7604 | 0.8720 |
|
250 |
+
| No log | 9.0455 | 398 | 0.6332 | 0.5263 | 0.6332 | 0.7957 |
|
251 |
+
| No log | 9.0909 | 400 | 0.5844 | 0.4977 | 0.5844 | 0.7645 |
|
252 |
+
| No log | 9.1364 | 402 | 0.5868 | 0.4677 | 0.5868 | 0.7661 |
|
253 |
+
| No log | 9.1818 | 404 | 0.6049 | 0.4823 | 0.6049 | 0.7778 |
|
254 |
+
| No log | 9.2273 | 406 | 0.6879 | 0.5423 | 0.6879 | 0.8294 |
|
255 |
+
| No log | 9.2727 | 408 | 0.8739 | 0.4004 | 0.8739 | 0.9348 |
|
256 |
+
| No log | 9.3182 | 410 | 0.9873 | 0.3057 | 0.9873 | 0.9936 |
|
257 |
+
| No log | 9.3636 | 412 | 0.9486 | 0.3790 | 0.9486 | 0.9740 |
|
258 |
+
| No log | 9.4091 | 414 | 0.7995 | 0.4515 | 0.7995 | 0.8941 |
|
259 |
+
| No log | 9.4545 | 416 | 0.6741 | 0.5275 | 0.6741 | 0.8211 |
|
260 |
+
| No log | 9.5 | 418 | 0.6277 | 0.5668 | 0.6277 | 0.7923 |
|
261 |
+
| No log | 9.5455 | 420 | 0.6157 | 0.5649 | 0.6157 | 0.7847 |
|
262 |
+
| No log | 9.5909 | 422 | 0.6132 | 0.5707 | 0.6132 | 0.7831 |
|
263 |
+
| No log | 9.6364 | 424 | 0.5987 | 0.5384 | 0.5987 | 0.7737 |
|
264 |
+
| No log | 9.6818 | 426 | 0.5663 | 0.4887 | 0.5663 | 0.7526 |
|
265 |
+
| No log | 9.7273 | 428 | 0.5914 | 0.5076 | 0.5914 | 0.7690 |
|
266 |
+
| No log | 9.7727 | 430 | 0.6416 | 0.4996 | 0.6416 | 0.8010 |
|
267 |
+
| No log | 9.8182 | 432 | 0.6318 | 0.5296 | 0.6318 | 0.7949 |
|
268 |
+
| No log | 9.8636 | 434 | 0.5957 | 0.6007 | 0.5957 | 0.7718 |
|
269 |
+
| No log | 9.9091 | 436 | 0.6009 | 0.5957 | 0.6009 | 0.7752 |
|
270 |
+
| No log | 9.9545 | 438 | 0.6046 | 0.6052 | 0.6046 | 0.7775 |
|
271 |
+
| No log | 10.0 | 440 | 0.6144 | 0.5778 | 0.6144 | 0.7838 |
|
272 |
+
| No log | 10.0455 | 442 | 0.6410 | 0.5582 | 0.6410 | 0.8006 |
|
273 |
+
| No log | 10.0909 | 444 | 0.6408 | 0.4879 | 0.6408 | 0.8005 |
|
274 |
+
| No log | 10.1364 | 446 | 0.6053 | 0.4555 | 0.6053 | 0.7780 |
|
275 |
+
| No log | 10.1818 | 448 | 0.5748 | 0.5100 | 0.5748 | 0.7582 |
|
276 |
+
| No log | 10.2273 | 450 | 0.5771 | 0.6040 | 0.5771 | 0.7596 |
|
277 |
+
| No log | 10.2727 | 452 | 0.5774 | 0.6040 | 0.5774 | 0.7599 |
|
278 |
+
| No log | 10.3182 | 454 | 0.5664 | 0.4868 | 0.5664 | 0.7526 |
|
279 |
+
| No log | 10.3636 | 456 | 0.5774 | 0.4489 | 0.5774 | 0.7599 |
|
280 |
+
| No log | 10.4091 | 458 | 0.5791 | 0.4810 | 0.5791 | 0.7610 |
|
281 |
+
| No log | 10.4545 | 460 | 0.5914 | 0.5914 | 0.5914 | 0.7690 |
|
282 |
+
| No log | 10.5 | 462 | 0.6109 | 0.5689 | 0.6109 | 0.7816 |
|
283 |
+
| No log | 10.5455 | 464 | 0.6235 | 0.5499 | 0.6235 | 0.7896 |
|
284 |
+
| No log | 10.5909 | 466 | 0.6195 | 0.5534 | 0.6195 | 0.7871 |
|
285 |
+
| No log | 10.6364 | 468 | 0.6312 | 0.5142 | 0.6312 | 0.7945 |
|
286 |
+
| No log | 10.6818 | 470 | 0.6680 | 0.4794 | 0.6680 | 0.8173 |
|
287 |
+
| No log | 10.7273 | 472 | 0.7254 | 0.4283 | 0.7254 | 0.8517 |
|
288 |
+
| No log | 10.7727 | 474 | 0.6839 | 0.4174 | 0.6839 | 0.8270 |
|
289 |
+
| No log | 10.8182 | 476 | 0.6230 | 0.4339 | 0.6230 | 0.7893 |
|
290 |
+
| No log | 10.8636 | 478 | 0.5787 | 0.4413 | 0.5787 | 0.7607 |
|
291 |
+
| No log | 10.9091 | 480 | 0.6010 | 0.5851 | 0.6010 | 0.7752 |
|
292 |
+
| No log | 10.9545 | 482 | 0.6633 | 0.5422 | 0.6633 | 0.8144 |
|
293 |
+
| No log | 11.0 | 484 | 0.6699 | 0.5587 | 0.6699 | 0.8185 |
|
294 |
+
| No log | 11.0455 | 486 | 0.6290 | 0.5613 | 0.6290 | 0.7931 |
|
295 |
+
| No log | 11.0909 | 488 | 0.6307 | 0.4857 | 0.6307 | 0.7942 |
|
296 |
+
| No log | 11.1364 | 490 | 0.6316 | 0.5163 | 0.6316 | 0.7947 |
|
297 |
+
| No log | 11.1818 | 492 | 0.6237 | 0.5474 | 0.6237 | 0.7897 |
|
298 |
+
| No log | 11.2273 | 494 | 0.6546 | 0.5549 | 0.6546 | 0.8091 |
|
299 |
+
| No log | 11.2727 | 496 | 0.7243 | 0.5153 | 0.7243 | 0.8511 |
|
300 |
+
| No log | 11.3182 | 498 | 0.7391 | 0.5061 | 0.7391 | 0.8597 |
|
301 |
+
| 0.3567 | 11.3636 | 500 | 0.6799 | 0.5262 | 0.6799 | 0.8245 |
|
302 |
+
| 0.3567 | 11.4091 | 502 | 0.6323 | 0.5422 | 0.6323 | 0.7952 |
|
303 |
+
| 0.3567 | 11.4545 | 504 | 0.6467 | 0.5420 | 0.6467 | 0.8042 |
|
304 |
+
| 0.3567 | 11.5 | 506 | 0.6791 | 0.5325 | 0.6791 | 0.8241 |
|
305 |
+
| 0.3567 | 11.5455 | 508 | 0.6844 | 0.5092 | 0.6844 | 0.8273 |
|
306 |
+
| 0.3567 | 11.5909 | 510 | 0.6981 | 0.5589 | 0.6981 | 0.8356 |
|
307 |
+
| 0.3567 | 11.6364 | 512 | 0.7115 | 0.5132 | 0.7115 | 0.8435 |
|
308 |
+
| 0.3567 | 11.6818 | 514 | 0.6951 | 0.5214 | 0.6951 | 0.8338 |
|
309 |
+
| 0.3567 | 11.7273 | 516 | 0.6807 | 0.5229 | 0.6807 | 0.8250 |
|
310 |
+
| 0.3567 | 11.7727 | 518 | 0.6735 | 0.5316 | 0.6735 | 0.8207 |
|
311 |
+
| 0.3567 | 11.8182 | 520 | 0.6462 | 0.5208 | 0.6462 | 0.8039 |
|
312 |
+
| 0.3567 | 11.8636 | 522 | 0.6724 | 0.5330 | 0.6724 | 0.8200 |
|
313 |
+
| 0.3567 | 11.9091 | 524 | 0.6939 | 0.5265 | 0.6939 | 0.8330 |
|
314 |
+
| 0.3567 | 11.9545 | 526 | 0.6815 | 0.5157 | 0.6815 | 0.8255 |
|
315 |
+
| 0.3567 | 12.0 | 528 | 0.7306 | 0.5164 | 0.7306 | 0.8548 |
|
316 |
+
| 0.3567 | 12.0455 | 530 | 0.7844 | 0.4877 | 0.7844 | 0.8857 |
|
317 |
+
| 0.3567 | 12.0909 | 532 | 0.7542 | 0.4848 | 0.7542 | 0.8685 |
|
318 |
+
| 0.3567 | 12.1364 | 534 | 0.6655 | 0.5411 | 0.6655 | 0.8158 |
|
319 |
+
| 0.3567 | 12.1818 | 536 | 0.6089 | 0.5640 | 0.6089 | 0.7803 |
|
320 |
+
| 0.3567 | 12.2273 | 538 | 0.6010 | 0.5453 | 0.6010 | 0.7753 |
|
321 |
+
| 0.3567 | 12.2727 | 540 | 0.6269 | 0.5597 | 0.6269 | 0.7917 |
|
322 |
+
| 0.3567 | 12.3182 | 542 | 0.6924 | 0.5019 | 0.6924 | 0.8321 |
|
323 |
+
| 0.3567 | 12.3636 | 544 | 0.7128 | 0.4633 | 0.7128 | 0.8443 |
|
324 |
+
| 0.3567 | 12.4091 | 546 | 0.6771 | 0.5147 | 0.6771 | 0.8229 |
|
325 |
+
| 0.3567 | 12.4545 | 548 | 0.6412 | 0.5942 | 0.6412 | 0.8007 |
|
326 |
+
| 0.3567 | 12.5 | 550 | 0.6626 | 0.5397 | 0.6626 | 0.8140 |
|
327 |
+
| 0.3567 | 12.5455 | 552 | 0.6609 | 0.5084 | 0.6609 | 0.8130 |
|
328 |
+
| 0.3567 | 12.5909 | 554 | 0.6274 | 0.5011 | 0.6274 | 0.7921 |
|
329 |
+
| 0.3567 | 12.6364 | 556 | 0.5962 | 0.5193 | 0.5962 | 0.7722 |
|
330 |
+
| 0.3567 | 12.6818 | 558 | 0.6030 | 0.4958 | 0.6030 | 0.7765 |
|
331 |
+
| 0.3567 | 12.7273 | 560 | 0.6070 | 0.4930 | 0.6070 | 0.7791 |
|
332 |
+
|
333 |
+
|
334 |
+
### Framework versions
|
335 |
+
|
336 |
+
- Transformers 4.44.2
|
337 |
+
- Pytorch 2.4.0+cu118
|
338 |
+
- Datasets 2.21.0
|
339 |
+
- 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:a6fec95972f0fce9bae1ad3c33555ae2136b0d8db992f50cccda154f5aa662c6
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e8f1f8e30b0615824367ff4c925080ded5f14efdb8917acf40a03fdda44d3a0
|
3 |
+
size 5240
|