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getrajeev03
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test-huggingface-ibm

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text2text-generation
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End of training

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Files changed (8) hide show
  1. README.md +78 -0
  2. generation_config.json +6 -0
  3. logs/events.out.tfevents.1687357520.notebook-rt222gpu1d283621de18747e3b0384bacd7ed0ecf-676c7562x24l.6302.0 +2 -2
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README.md ADDED
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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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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: test-huggingface-ibm
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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: 46.7955
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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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+ # test-huggingface-ibm
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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: 1.3861
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+ - Rouge1: 46.7955
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+ - Rouge2: 23.2852
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+ - Rougel: 39.2261
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+ - Rougelsum: 43.0963
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+ - Gen Len: 17.1880
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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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+ ### 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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+ | 1.4378 | 1.0 | 1842 | 1.3861 | 46.7955 | 23.2852 | 39.2261 | 43.0963 | 17.1880 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - Pytorch 1.12.1
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+ - Datasets 2.13.0
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+ - Tokenizers 0.11.0
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