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flan-t5-base-samsum

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
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Files changed (8) hide show
  1. README.md +62 -0
  2. config.json +62 -0
  3. generation_config.json +6 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +107 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +112 -0
  8. training_args.bin +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-base
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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: flan-t5-base-samsum
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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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+ # flan-t5-base-samsum
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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: 1.4415
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+ - eval_rouge1: 46.722
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+ - eval_rouge2: 22.8303
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+ - eval_rougeL: 39.0315
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+ - eval_rougeLsum: 42.8427
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+ - eval_gen_len: 17.0281
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+ - eval_runtime: 128.0437
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+ - eval_samples_per_second: 6.396
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+ - eval_steps_per_second: 0.804
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+ - epoch: 0.03
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+ - step: 64
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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: 5
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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+ {
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "translation_en_to_de": {
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+ "translation_en_to_fr": {
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