Hugging Face's logo

salbatarni
/
arabert_cross_development_task1_fold4

Safetensors
bert
Generated from Trainer
Model card Files Community
salbatarni commited on
Commit
1d30142
·
verified ·
1 Parent(s): 81d9709

Training in progress, step 160

Browse files
Files changed (4) hide show
  1. README.md +132 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,132 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: aubmindlab/bert-base-arabertv02
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: arabert_cross_development_task1_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_development_task1_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: 0.5861
18
+ - Qwk: 0.7634
19
+ - Mse: 0.5861
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
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 | 0.1333 | 2 | 1.7502 | 0.1271 | 1.7502 |
51
+ | No log | 0.2667 | 4 | 1.2292 | 0.1987 | 1.2292 |
52
+ | No log | 0.4 | 6 | 1.3080 | 0.3555 | 1.3080 |
53
+ | No log | 0.5333 | 8 | 0.9607 | 0.4976 | 0.9607 |
54
+ | No log | 0.6667 | 10 | 0.8578 | 0.6328 | 0.8578 |
55
+ | No log | 0.8 | 12 | 0.8243 | 0.6683 | 0.8243 |
56
+ | No log | 0.9333 | 14 | 0.6736 | 0.6082 | 0.6736 |
57
+ | No log | 1.0667 | 16 | 0.6841 | 0.5941 | 0.6841 |
58
+ | No log | 1.2 | 18 | 0.6510 | 0.6300 | 0.6510 |
59
+ | No log | 1.3333 | 20 | 0.7744 | 0.7345 | 0.7744 |
60
+ | No log | 1.4667 | 22 | 0.6786 | 0.7336 | 0.6786 |
61
+ | No log | 1.6 | 24 | 0.5769 | 0.6663 | 0.5769 |
62
+ | No log | 1.7333 | 26 | 0.5647 | 0.6751 | 0.5647 |
63
+ | No log | 1.8667 | 28 | 0.6191 | 0.7228 | 0.6191 |
64
+ | No log | 2.0 | 30 | 0.6480 | 0.7149 | 0.6480 |
65
+ | No log | 2.1333 | 32 | 0.5930 | 0.6377 | 0.5930 |
66
+ | No log | 2.2667 | 34 | 0.5792 | 0.6840 | 0.5792 |
67
+ | No log | 2.4 | 36 | 0.6399 | 0.7684 | 0.6399 |
68
+ | No log | 2.5333 | 38 | 0.6099 | 0.7730 | 0.6099 |
69
+ | No log | 2.6667 | 40 | 0.5513 | 0.7336 | 0.5513 |
70
+ | No log | 2.8 | 42 | 0.5787 | 0.7674 | 0.5787 |
71
+ | No log | 2.9333 | 44 | 0.6353 | 0.7926 | 0.6353 |
72
+ | No log | 3.0667 | 46 | 0.5670 | 0.7594 | 0.5670 |
73
+ | No log | 3.2 | 48 | 0.6004 | 0.7827 | 0.6004 |
74
+ | No log | 3.3333 | 50 | 0.6263 | 0.7869 | 0.6263 |
75
+ | No log | 3.4667 | 52 | 0.5762 | 0.7498 | 0.5762 |
76
+ | No log | 3.6 | 54 | 0.5570 | 0.7472 | 0.5570 |
77
+ | No log | 3.7333 | 56 | 0.6280 | 0.7790 | 0.6280 |
78
+ | No log | 3.8667 | 58 | 0.6056 | 0.7764 | 0.6056 |
79
+ | No log | 4.0 | 60 | 0.5239 | 0.7299 | 0.5239 |
80
+ | No log | 4.1333 | 62 | 0.5192 | 0.7305 | 0.5192 |
81
+ | No log | 4.2667 | 64 | 0.5703 | 0.7631 | 0.5703 |
82
+ | No log | 4.4 | 66 | 0.6518 | 0.7918 | 0.6518 |
83
+ | No log | 4.5333 | 68 | 0.7302 | 0.7883 | 0.7302 |
84
+ | No log | 4.6667 | 70 | 0.6654 | 0.7960 | 0.6654 |
85
+ | No log | 4.8 | 72 | 0.5714 | 0.7539 | 0.5714 |
86
+ | No log | 4.9333 | 74 | 0.5149 | 0.7046 | 0.5149 |
87
+ | No log | 5.0667 | 76 | 0.5129 | 0.6751 | 0.5129 |
88
+ | No log | 5.2 | 78 | 0.5200 | 0.7257 | 0.5200 |
89
+ | No log | 5.3333 | 80 | 0.5968 | 0.7701 | 0.5968 |
90
+ | No log | 5.4667 | 82 | 0.6356 | 0.7899 | 0.6356 |
91
+ | No log | 5.6 | 84 | 0.5976 | 0.7718 | 0.5976 |
92
+ | No log | 5.7333 | 86 | 0.5510 | 0.7528 | 0.5510 |
93
+ | No log | 5.8667 | 88 | 0.5499 | 0.7505 | 0.5499 |
94
+ | No log | 6.0 | 90 | 0.5581 | 0.7507 | 0.5581 |
95
+ | No log | 6.1333 | 92 | 0.5846 | 0.7624 | 0.5846 |
96
+ | No log | 6.2667 | 94 | 0.6247 | 0.7828 | 0.6247 |
97
+ | No log | 6.4 | 96 | 0.6363 | 0.7865 | 0.6363 |
98
+ | No log | 6.5333 | 98 | 0.6065 | 0.7792 | 0.6065 |
99
+ | No log | 6.6667 | 100 | 0.5753 | 0.7552 | 0.5753 |
100
+ | No log | 6.8 | 102 | 0.5617 | 0.7438 | 0.5617 |
101
+ | No log | 6.9333 | 104 | 0.5593 | 0.7415 | 0.5593 |
102
+ | No log | 7.0667 | 106 | 0.5501 | 0.7410 | 0.5501 |
103
+ | No log | 7.2 | 108 | 0.5736 | 0.7489 | 0.5736 |
104
+ | No log | 7.3333 | 110 | 0.6235 | 0.7773 | 0.6235 |
105
+ | No log | 7.4667 | 112 | 0.6392 | 0.7840 | 0.6392 |
106
+ | No log | 7.6 | 114 | 0.6211 | 0.7732 | 0.6211 |
107
+ | No log | 7.7333 | 116 | 0.5970 | 0.7733 | 0.5970 |
108
+ | No log | 7.8667 | 118 | 0.5611 | 0.7530 | 0.5611 |
109
+ | No log | 8.0 | 120 | 0.5439 | 0.7470 | 0.5439 |
110
+ | No log | 8.1333 | 122 | 0.5497 | 0.7484 | 0.5497 |
111
+ | No log | 8.2667 | 124 | 0.5836 | 0.7580 | 0.5836 |
112
+ | No log | 8.4 | 126 | 0.6389 | 0.7749 | 0.6389 |
113
+ | No log | 8.5333 | 128 | 0.6778 | 0.7817 | 0.6778 |
114
+ | No log | 8.6667 | 130 | 0.6794 | 0.7790 | 0.6794 |
115
+ | No log | 8.8 | 132 | 0.6575 | 0.7769 | 0.6575 |
116
+ | No log | 8.9333 | 134 | 0.6182 | 0.7797 | 0.6182 |
117
+ | No log | 9.0667 | 136 | 0.5921 | 0.7689 | 0.5921 |
118
+ | No log | 9.2 | 138 | 0.5771 | 0.7588 | 0.5771 |
119
+ | No log | 9.3333 | 140 | 0.5657 | 0.7530 | 0.5657 |
120
+ | No log | 9.4667 | 142 | 0.5672 | 0.7530 | 0.5672 |
121
+ | No log | 9.6 | 144 | 0.5759 | 0.7639 | 0.5759 |
122
+ | No log | 9.7333 | 146 | 0.5809 | 0.7611 | 0.5809 |
123
+ | No log | 9.8667 | 148 | 0.5847 | 0.7611 | 0.5847 |
124
+ | No log | 10.0 | 150 | 0.5861 | 0.7634 | 0.5861 |
125
+
126
+
127
+ ### Framework versions
128
+
129
+ - Transformers 4.44.0
130
+ - Pytorch 2.4.0
131
+ - Datasets 2.21.0
132
+ - 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": "4.44.0",
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:fbccb4b1c09e6b33b200fe2c8c70f5e99bd1a4e32695cdab691beb2a9ffe3cc3
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d88f8b408897524a213246000193ef09251d4fd40969d2dd8473ccd938fb41a9
3
+ size 5240