MahmoudH commited on
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Upload TFT5ForConditionalGeneration

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  1. README.md +54 -0
  2. config.json +30 -0
  3. generation_config.json +7 -0
  4. tf_model.h5 +3 -0
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: t5-v1_1-base-finetuned3
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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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+ # t5-v1_1-base-finetuned3
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+
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+ This model is a fine-tuned version of [MahmoudH/t5-v1_1-base-finetuned2](https://huggingface.co/MahmoudH/t5-v1_1-base-finetuned2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 1.6841
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+ - Validation Loss: 1.4443
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+ - Epoch: 1
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 22098, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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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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+ | 2.0059 | 1.4861 | 0 |
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+ | 1.6841 | 1.4443 | 1 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - TensorFlow 2.11.0
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+ - Datasets 2.10.1
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+ - Tokenizers 0.13.2
config.json ADDED
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+ {
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+ "_name_or_path": "MahmoudH/t5-v1_1-base-finetuned2",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "d_ff": 2048,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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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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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "transformers_version": "4.26.1",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.26.1"
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+ }
tf_model.h5 ADDED
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+ size 1188285192