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Upload TFT5ForConditionalGeneration

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  1. README.md +78 -0
  2. config.json +5 -1
  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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+ base_model: google/flan-t5-small
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: demo
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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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+ # demo
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 1.1764
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+ - Validation Loss: 0.9237
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+ - Epoch: 24
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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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, '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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+ | 1.6824 | 1.3619 | 0 |
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+ | 1.5733 | 1.3030 | 1 |
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+ | 1.5199 | 1.2730 | 2 |
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+ | 1.4833 | 1.2379 | 3 |
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+ | 1.4591 | 1.2201 | 4 |
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+ | 1.4278 | 1.1945 | 5 |
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+ | 1.4101 | 1.1755 | 6 |
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+ | 1.3870 | 1.1561 | 7 |
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+ | 1.3740 | 1.1366 | 8 |
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+ | 1.3559 | 1.1163 | 9 |
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+ | 1.3420 | 1.1007 | 10 |
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+ | 1.3265 | 1.0871 | 11 |
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+ | 1.3082 | 1.0708 | 12 |
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+ | 1.2984 | 1.0586 | 13 |
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+ | 1.2832 | 1.0429 | 14 |
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+ | 1.2724 | 1.0305 | 15 |
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+ | 1.2634 | 1.0170 | 16 |
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+ | 1.2486 | 1.0090 | 17 |
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+ | 1.2375 | 0.9901 | 18 |
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+ | 1.2259 | 0.9760 | 19 |
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+ | 1.2128 | 0.9659 | 20 |
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+ | 1.2038 | 0.9556 | 21 |
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+ | 1.1965 | 0.9446 | 22 |
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+ | 1.1833 | 0.9369 | 23 |
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+ | 1.1764 | 0.9237 | 24 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0
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+ - TensorFlow 2.13.0
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+ - Datasets 2.14.4
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+ - Tokenizers 0.12.1
config.json CHANGED
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  {
 
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
 
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  "d_ff": 1024,
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  "d_kv": 64,
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  "d_model": 512,
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  "decoder_start_token_id": 0,
 
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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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  "layer_norm_epsilon": 1e-06,
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  "model_type": "t5",
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  "n_positions": 512,
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  }
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  },
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  "tie_word_embeddings": false,
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- "transformers_version": "4.23.1",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
 
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  {
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+ "_name_or_path": "google/flan-t5-small",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
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+ "classifier_dropout": 0.0,
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  "d_ff": 1024,
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  "d_kv": 64,
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  "d_model": 512,
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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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  "n_positions": 512,
 
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  }
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  },
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  "tie_word_embeddings": false,
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+ "transformers_version": "4.32.0",
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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": "4.32.0"
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+ }
tf_model.h5 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:02013fd5c9c9da87d569609cebe165db97bbb8f0a8bc8eaf3f574301be741cdf
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+ size 439831352