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Training in progress epoch 0

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Files changed (7) hide show
  1. .gitattributes +1 -0
  2. README.md +54 -0
  3. config.json +35 -0
  4. special_tokens_map.json +51 -0
  5. tf_model.h5 +3 -0
  6. tokenizer.json +3 -0
  7. tokenizer_config.json +58 -0
.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: timpal0l/mdeberta-v3-base-squad2
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: omarSorour123/sorour_qa_model
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+ results: []
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+ ---
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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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+
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+ # omarSorour123/sorour_qa_model
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+
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+ This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 1.6956
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+ - Validation Loss: 1.5308
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 435, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 1.6956 | 1.5308 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0
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+ - TensorFlow 2.15.0
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "timpal0l/mdeberta-v3-base-squad2",
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+ "architectures": [
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+ "DebertaV2ForQuestionAnswering"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "model_type": "deberta-v2",
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+ "norm_rel_ebd": "layer_norm",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
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+ "pooler_hidden_size": 768,
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+ "pos_att_type": [
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+ "p2c",
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+ "c2p"
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+ ],
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+ "position_biased_input": false,
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+ "position_buckets": 256,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.40.0",
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+ "type_vocab_size": 0,
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+ "vocab_size": 251000
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+ }
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