abdulelahagr
commited on
Commit
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5ca7f15
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Parent(s):
0888010
further fine-tuning to parent-to-kids harassment specific examples
Browse files- README.md +63 -0
- config.json +35 -0
- model.safetensors +3 -0
- runs/Jun11_19-34-01_3ec720f699ee/events.out.tfevents.1718134442.3ec720f699ee.861.0 +3 -0
- runs/Jun11_19-34-01_3ec720f699ee/events.out.tfevents.1718134592.3ec720f699ee.861.1 +3 -0
- runs/Jun11_19-36-44_3ec720f699ee/events.out.tfevents.1718134608.3ec720f699ee.861.2 +3 -0
- runs/Jun11_19-36-44_3ec720f699ee/events.out.tfevents.1718134736.3ec720f699ee.861.3 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: abdulelahagr/harassment_lang_classifier
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tags:
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- text-classification
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- generated_from_trainer
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model-index:
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- name: harssment_classifier
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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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# harssment_classifier
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This model is a fine-tuned version of [abdulelahagr/harassment_lang_classifier](https://huggingface.co/abdulelahagr/harassment_lang_classifier) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0014
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1539 | 1.0 | 33 | 0.0038 |
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| 0.0338 | 2.0 | 66 | 0.1293 |
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| 0.0371 | 3.0 | 99 | 0.0028 |
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| 0.0372 | 4.0 | 132 | 0.0646 |
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| 0.0245 | 5.0 | 165 | 0.0017 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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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": "abdulelahagr/harassment_lang_classifier",
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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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"gradient_checkpointing": false,
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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": "non-harassment",
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"1": "harassment"
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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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"harassment": 1,
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"non-harassment": 0
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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": "4.41.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:edcef18afd0dbd35ed472e9c3052c5ead2ccccf6f3be919c723d2e64197ad1db
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size 437958648
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runs/Jun11_19-34-01_3ec720f699ee/events.out.tfevents.1718134442.3ec720f699ee.861.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:98002e0ca94aa77ace6e677ba4f0de5813ca37f0a517b990499b8c1903ceba66
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size 6755
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runs/Jun11_19-34-01_3ec720f699ee/events.out.tfevents.1718134592.3ec720f699ee.861.1
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version https://git-lfs.github.com/spec/v1
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runs/Jun11_19-36-44_3ec720f699ee/events.out.tfevents.1718134608.3ec720f699ee.861.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:381ff118b5d8de2db3cfdade0340016c884976e0ba788a1ad742d01d5b4d6d93
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size 10082
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runs/Jun11_19-36-44_3ec720f699ee/events.out.tfevents.1718134736.3ec720f699ee.861.3
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version https://git-lfs.github.com/spec/v1
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size 359
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"sep_token": {
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"content": "[SEP]",
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"single_word": false
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"unk_token": {
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"content": "[UNK]",
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c0cdfbc97bffc23c193b8d9e424f79b5e356e5251d2a1074db8f7c71e26ad71
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size 5112
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vocab.txt
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