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First model version

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README.md CHANGED
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  ---
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- license: bsd-3-clause-clear
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - samsum
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+ model-index:
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+ - name: models_and_tokenizers
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # models_and_tokenizers
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 1.4721
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+ - eval_rouge1: 45.9566
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+ - eval_rouge2: 22.0863
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+ - eval_rougeL: 38.238
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+ - eval_rougeLsum: 41.9378
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+ - eval_get_len: 16.9096
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+ - eval_runtime: 131.3434
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+ - eval_samples_per_second: 6.236
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+ - eval_steps_per_second: 0.784
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+ - step: 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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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 1
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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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+ - Pytorch 1.13.1
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+ - Datasets 2.10.1
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+ - Tokenizers 0.13.2
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+ "dropout_rate": 0.1,
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+ "initializer_factor": 1.0,
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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": 12,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "task_specific_params": {
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+ "translation_en_to_fr": {
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+ "prefix": "translate English to French: "
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+ "translation_en_to_ro": {
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+ "prefix": "translate English to Romanian: "
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