Hugging Face's logo

salbatarni
/
arabert_cross_relevance_task1_fold4

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
3f5a59a
·
verified ·
1 Parent(s): 02b69ac

Training in progress, step 61

Browse files
Files changed (13) hide show
  1. README.md +85 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. runs/Sep01_12-41-05_04a6a2005c12/events.out.tfevents.1725194467.04a6a2005c12.23.0 +3 -0
  5. runs/Sep01_12-41-05_04a6a2005c12/events.out.tfevents.1725194639.04a6a2005c12.23.1 +3 -0
  6. runs/Sep01_12-44-00_04a6a2005c12/events.out.tfevents.1725194641.04a6a2005c12.23.2 +3 -0
  7. runs/Sep01_12-44-00_04a6a2005c12/events.out.tfevents.1725194774.04a6a2005c12.23.3 +3 -0
  8. runs/Sep01_12-46-15_04a6a2005c12/events.out.tfevents.1725194776.04a6a2005c12.23.4 +3 -0
  9. runs/Sep01_12-46-15_04a6a2005c12/events.out.tfevents.1725194894.04a6a2005c12.23.5 +3 -0
  10. runs/Sep01_12-48-15_04a6a2005c12/events.out.tfevents.1725194896.04a6a2005c12.23.6 +3 -0
  11. runs/Sep01_12-48-15_04a6a2005c12/events.out.tfevents.1725195082.04a6a2005c12.23.7 +3 -0
  12. runs/Sep01_12-51-23_04a6a2005c12/events.out.tfevents.1725195084.04a6a2005c12.23.8 +3 -0
  13. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: aubmindlab/bert-base-arabertv02
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: arabert_cross_relevance_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_relevance_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: 0.2991
18
+ - Qwk: 0.5026
19
+ - Mse: 0.2991
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: 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 | 1.0137 | 0.0171 | 1.0137 |
51
+ | No log | 0.0702 | 4 | 0.6105 | 0.1259 | 0.6105 |
52
+ | No log | 0.1053 | 6 | 0.6101 | 0.4090 | 0.6101 |
53
+ | No log | 0.1404 | 8 | 0.5978 | 0.3841 | 0.5978 |
54
+ | No log | 0.1754 | 10 | 0.4704 | 0.2193 | 0.4704 |
55
+ | No log | 0.2105 | 12 | 0.3969 | 0.1722 | 0.3969 |
56
+ | No log | 0.2456 | 14 | 0.4062 | 0.2387 | 0.4062 |
57
+ | No log | 0.2807 | 16 | 0.3689 | 0.2173 | 0.3689 |
58
+ | No log | 0.3158 | 18 | 0.3622 | 0.2224 | 0.3622 |
59
+ | No log | 0.3509 | 20 | 0.3775 | 0.2202 | 0.3775 |
60
+ | No log | 0.3860 | 22 | 0.3739 | 0.2294 | 0.3739 |
61
+ | No log | 0.4211 | 24 | 0.3817 | 0.2153 | 0.3817 |
62
+ | No log | 0.4561 | 26 | 0.3802 | 0.2316 | 0.3802 |
63
+ | No log | 0.4912 | 28 | 0.3706 | 0.2936 | 0.3706 |
64
+ | No log | 0.5263 | 30 | 0.3544 | 0.2687 | 0.3544 |
65
+ | No log | 0.5614 | 32 | 0.3300 | 0.2840 | 0.3300 |
66
+ | No log | 0.5965 | 34 | 0.3051 | 0.3286 | 0.3051 |
67
+ | No log | 0.6316 | 36 | 0.2877 | 0.3503 | 0.2877 |
68
+ | No log | 0.6667 | 38 | 0.2875 | 0.3784 | 0.2875 |
69
+ | No log | 0.7018 | 40 | 0.2986 | 0.4873 | 0.2986 |
70
+ | No log | 0.7368 | 42 | 0.3064 | 0.5052 | 0.3064 |
71
+ | No log | 0.7719 | 44 | 0.3065 | 0.5343 | 0.3065 |
72
+ | No log | 0.8070 | 46 | 0.2939 | 0.4736 | 0.2939 |
73
+ | No log | 0.8421 | 48 | 0.2887 | 0.4490 | 0.2887 |
74
+ | No log | 0.8772 | 50 | 0.2881 | 0.4490 | 0.2881 |
75
+ | No log | 0.9123 | 52 | 0.2916 | 0.4637 | 0.2916 |
76
+ | No log | 0.9474 | 54 | 0.2967 | 0.4885 | 0.2967 |
77
+ | No log | 0.9825 | 56 | 0.2991 | 0.5026 | 0.2991 |
78
+
79
+
80
+ ### Framework versions
81
+
82
+ - Transformers 4.44.0
83
+ - Pytorch 2.4.0
84
+ - Datasets 2.21.0
85
+ - 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:a7be9472149d1a4ee071f57207e8ee955cbc49d48fcd1dc23a54b1149c4e6b11
3
+ size 540799996
runs/Sep01_12-41-05_04a6a2005c12/events.out.tfevents.1725194467.04a6a2005c12.23.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec63f7f05065dd34acc06e712e406cf4260dde61e955142914a8315ac3c70242
3
+ size 15353
runs/Sep01_12-41-05_04a6a2005c12/events.out.tfevents.1725194639.04a6a2005c12.23.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:009f042d1e00e64043a9985ad8b4e8b9db8bdeb8dfd7fc029b9c2372b5e13fb0
3
+ size 446
runs/Sep01_12-44-00_04a6a2005c12/events.out.tfevents.1725194641.04a6a2005c12.23.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:40581434d938eda9645349c8cd92010fe9050cae3bf746da99017383ac455e43
3
+ size 16427
runs/Sep01_12-44-00_04a6a2005c12/events.out.tfevents.1725194774.04a6a2005c12.23.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aab273b3cab912505c63e68063238f4a9207d937a42a8503e58526abb72224c8
3
+ size 446
runs/Sep01_12-46-15_04a6a2005c12/events.out.tfevents.1725194776.04a6a2005c12.23.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9533110ca8ece6ee704c664c04dc232d1f62c19c746f83d61b3bcdac57c52711
3
+ size 16785
runs/Sep01_12-46-15_04a6a2005c12/events.out.tfevents.1725194894.04a6a2005c12.23.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:366703dde010e0db39a8e72ec8599150bf97757e1474ad5bcb0674ba36489b29
3
+ size 446
runs/Sep01_12-48-15_04a6a2005c12/events.out.tfevents.1725194896.04a6a2005c12.23.6 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d4e0f8a9fab259a1c87e6d516a5a5aba69fb0ac0c91fd12af96a15454a659f2
3
+ size 15353
runs/Sep01_12-48-15_04a6a2005c12/events.out.tfevents.1725195082.04a6a2005c12.23.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f219794cf26756933429909fd1694bb160e8f91d99e0062912f971b1456054b3
3
+ size 446
runs/Sep01_12-51-23_04a6a2005c12/events.out.tfevents.1725195084.04a6a2005c12.23.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c8edbf4c95eecf268d73373f9775d5d937cd03b8f4aefbbc6abf34abb5e775b
3
+ size 16069
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3278fe8a740fe88d281713a75af623128293f705bfb2ca7acaaa4b95e2306db4
3
+ size 5240