Model save
Browse files- README.md +67 -0
- config.json +34 -0
- model.safetensors +3 -0
- runs/Jul09_10-46-25_2f5c1bb01792/events.out.tfevents.1720521991.2f5c1bb01792.398.0 +3 -0
- runs/Jul09_10-47-00_2f5c1bb01792/events.out.tfevents.1720522024.2f5c1bb01792.398.1 +3 -0
- runs/Jul09_10-49-51_2f5c1bb01792/events.out.tfevents.1720522193.2f5c1bb01792.398.2 +3 -0
- runs/Jul09_10-50-57_2f5c1bb01792/events.out.tfevents.1720522259.2f5c1bb01792.398.3 +3 -0
- runs/Jul09_10-51-10_2f5c1bb01792/events.out.tfevents.1720522271.2f5c1bb01792.398.4 +3 -0
- runs/Jul09_10-51-49_2f5c1bb01792/events.out.tfevents.1720522312.2f5c1bb01792.398.5 +3 -0
- runs/Jul09_10-52-39_2f5c1bb01792/events.out.tfevents.1720522360.2f5c1bb01792.398.6 +3 -0
- runs/Jul09_10-52-39_2f5c1bb01792/events.out.tfevents.1720522424.2f5c1bb01792.398.7 +3 -0
- runs/Jul09_10-58-05_2f5c1bb01792/events.out.tfevents.1720522687.2f5c1bb01792.398.8 +3 -0
- runs/Jul09_11-07-56_2f5c1bb01792/events.out.tfevents.1720523304.2f5c1bb01792.398.13 +3 -0
- runs/Jul09_11-07-56_2f5c1bb01792/events.out.tfevents.1720523406.2f5c1bb01792.398.14 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +86 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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base_model: aubmindlab/bert-base-arabertv02
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# test
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4328
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- Accuracy: 0.8571
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 9
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 11 | 0.6631 | 0.6190 |
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| No log | 2.0 | 22 | 0.4584 | 0.9048 |
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| No log | 3.0 | 33 | 0.3879 | 0.8571 |
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| No log | 4.0 | 44 | 0.3780 | 0.8571 |
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| No log | 5.0 | 55 | 0.4273 | 0.8571 |
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| No log | 6.0 | 66 | 0.3786 | 0.8571 |
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| No log | 7.0 | 77 | 0.3273 | 0.8571 |
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| No log | 8.0 | 88 | 0.4280 | 0.8571 |
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| No log | 9.0 | 99 | 0.4328 | 0.8571 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "aubmindlab/bert-base-arabertv02",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "*6",
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"1": "autre"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"*6": 0,
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"autre": 1
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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}
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model.safetensors
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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|
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},
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"3": {
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"content": "[SEP]",
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|
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},
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"4": {
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|
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},
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"5": {
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},
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"6": {
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},
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"7": {
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"lstrip": false,
|
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|
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"special": true
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}
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},
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+
"clean_up_tokenization_spaces": true,
|
69 |
+
"cls_token": "[CLS]",
|
70 |
+
"do_basic_tokenize": true,
|
71 |
+
"do_lower_case": false,
|
72 |
+
"mask_token": "[MASK]",
|
73 |
+
"max_len": 512,
|
74 |
+
"model_max_length": 512,
|
75 |
+
"never_split": [
|
76 |
+
"[بريد]",
|
77 |
+
"[مستخدم]",
|
78 |
+
"[رابط]"
|
79 |
+
],
|
80 |
+
"pad_token": "[PAD]",
|
81 |
+
"sep_token": "[SEP]",
|
82 |
+
"strip_accents": null,
|
83 |
+
"tokenize_chinese_chars": true,
|
84 |
+
"tokenizer_class": "BertTokenizer",
|
85 |
+
"unk_token": "[UNK]"
|
86 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:958f3f74293a287ff0509ea8a9887435dd16ee0756f56af9ca3bfe9e1a5bb288
|
3 |
+
size 5112
|
vocab.txt
ADDED
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|
|