JustAdvanceTechonology commited on
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Training in progress epoch 0

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: JustAdvanceTechonology/medical_notes_mulitilingual
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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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+ # JustAdvanceTechonology/medical_notes_mulitilingual
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+
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+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 11.2097
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+ - Validation Loss: 6.1454
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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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 1209, '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, 'weight_decay_rate': 0.01}
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+ - training_precision: mixed_float16
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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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+ | 11.2097 | 6.1454 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.16.2
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+ - TensorFlow 2.5.0
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+ - Datasets 2.0.0
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+ - Tokenizers 0.10.1
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+ {
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+ "_name_or_path": "google/mt5-small",
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+ "architectures": [
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+ "MT5ForConditionalGeneration"
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+ "feed_forward_proj": "gated-gelu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "mt5",
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+ "num_decoder_layers": 8,
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+ "num_heads": 6,
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+ "num_layers": 8,
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+ "pad_token_id": 0,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "tokenizer_class": "T5Tokenizer",
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+ "transformers_version": "4.16.2",
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+ "use_cache": true,
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+ "vocab_size": 250112
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+ }
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