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texasdave2
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flan-t5-base-samsum

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
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Files changed (9) hide show
  1. README.md +83 -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. spiece.model +3 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +112 -0
  9. 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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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: flan-t5-base-samsum
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: samsum
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+ type: samsum
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+ config: samsum
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+ split: test
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+ args: samsum
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 47.2327
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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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+ - Loss: 1.3715
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+ - Rouge1: 47.2327
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+ - Rouge2: 23.7085
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+ - Rougel: 39.6926
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+ - Rougelsum: 43.4089
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+ - Gen Len: 17.1868
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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: 24
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+ - eval_batch_size: 24
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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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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 1.4596 | 1.0 | 614 | 1.3916 | 46.7408 | 22.8901 | 38.9867 | 42.8599 | 17.3639 |
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+ | 1.3941 | 2.0 | 1228 | 1.3760 | 47.1927 | 23.5198 | 39.7919 | 43.4399 | 17.3065 |
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+ | 1.3488 | 3.0 | 1842 | 1.3715 | 47.2327 | 23.7085 | 39.6926 | 43.4089 | 17.1868 |
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+ | 1.3244 | 4.0 | 2456 | 1.3742 | 47.1866 | 23.2968 | 39.5822 | 43.3795 | 17.3346 |
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+ | 1.2788 | 5.0 | 3070 | 1.3766 | 46.9935 | 23.3295 | 39.5672 | 43.3056 | 17.2503 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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