Training in progress epoch 0
Browse files- README.md +52 -0
- config.json +71 -0
- logs/train/events.out.tfevents.1646928932.f0feff400231.39.0.v2 +3 -0
- logs/train/events.out.tfevents.1646928960.f0feff400231.profile-empty +3 -0
- logs/train/plugins/profile/2022_03_10_16_16_00/f0feff400231.input_pipeline.pb +3 -0
- logs/train/plugins/profile/2022_03_10_16_16_00/f0feff400231.kernel_stats.pb +3 -0
- logs/train/plugins/profile/2022_03_10_16_16_00/f0feff400231.memory_profile.json.gz +3 -0
- logs/train/plugins/profile/2022_03_10_16_16_00/f0feff400231.overview_page.pb +3 -0
- logs/train/plugins/profile/2022_03_10_16_16_00/f0feff400231.tensorflow_stats.pb +3 -0
- logs/train/plugins/profile/2022_03_10_16_16_00/f0feff400231.trace.json.gz +3 -0
- logs/train/plugins/profile/2022_03_10_16_16_00/f0feff400231.xplane.pb +3 -0
- logs/validation/events.out.tfevents.1646932172.f0feff400231.39.1.v2 +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -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: jabalov/MARBERT-finetuned-arabic-dialects-identification
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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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# jabalov/MARBERT-finetuned-arabic-dialects-identification
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This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.4599
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- Validation Loss: 1.0517
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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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 64431, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 1.4599 | 1.0517 | 0 |
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### Framework versions
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- Transformers 4.15.0
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- TensorFlow 2.6.2
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- Datasets 1.18.4
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- Tokenizers 0.10.3
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config.json
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{
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"_name_or_path": "UBC-NLP/MARBERT",
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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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"directionality": "bidi",
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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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9",
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"10": "LABEL_10",
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"11": "LABEL_11",
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"16": "LABEL_16",
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"17": "LABEL_17"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_8": 8,
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"LABEL_9": 9
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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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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"transformers_version": "4.15.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 100000
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}
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logs/train/events.out.tfevents.1646928932.f0feff400231.39.0.v2
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tf_model.h5
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tokenizer.json
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tokenizer_config.json
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vocab.txt
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