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flan-ul2

Transformers
TensorFlow
JAX
t5
text2text-generation
generated_from_keras_callback
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Upload TFT5ForConditionalGeneration

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  1. README.md +47 -0
  2. config.json +31 -0
  3. generation_config.json +7 -0
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README.md ADDED
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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: flan-ul2
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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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+ # flan-ul2
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+
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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: None
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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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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.0.dev0
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+ - TensorFlow 2.9.2
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+ - Datasets 2.3.2
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+ - Tokenizers 0.12.1
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+ {
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+ "_name_or_path": "./google/flan-ul2",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "d_ff": 16384,
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+ "d_kv": 256,
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+ "d_model": 4096,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "silu",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-silu",
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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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+ "num_decoder_layers": 32,
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+ "num_heads": 16,
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+ "num_layers": 32,
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.27.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
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