Commit
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c7ae611
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Parent(s):
ca22ce5
Training in progress epoch 0
Browse files- README.md +51 -0
- config.json +30 -0
- special_tokens_map.json +7 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +20 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Mostafa3zazi/arabicQA-finetuned-squad_arcd
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# Mostafa3zazi/arabicQA-finetuned-squad_arcd
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This model is a fine-tuned version of [aubmindlab/araelectra-base-discriminator](https://huggingface.co/aubmindlab/araelectra-base-discriminator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 2.3885
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- Epoch: 0
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 3e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3034, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 50, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 2.3885 | 0 |
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### Framework versions
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- Transformers 4.21.1
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- TensorFlow 2.8.2
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "aubmindlab/araelectra-base-discriminator",
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"architectures": [
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"ElectraForQuestionAnswering"
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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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"embedding_size": 768,
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"generator_hidden_size": 0.33333,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "electra",
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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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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"transformers_version": "4.21.1",
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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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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:30b44323c21032eb62cdae18115d68bc744fff0364f25074b4289b4e79c65aee
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size 538702864
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"max_len": 512,
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"name_or_path": "aubmindlab/araelectra-base-discriminator",
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"never_split": [
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"[بريد]",
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"[مستخدم]",
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"[رابط]"
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],
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "ElectraTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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