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akira1608
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BART-model

Text2Text Generation
Transformers
PyTorch
pegasus
Generated from Trainer
Inference Endpoints
Model card Files Community
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Training complete!

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Files changed (9) hide show
  1. README.md +68 -0
  2. config.json +56 -0
  3. generation_config.json +13 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +110 -0
  6. spiece.model +3 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +117 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: BART-model
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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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+ # BART-model
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+
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+ This model is a fine-tuned version of [amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2](https://huggingface.co/amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9435
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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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.4132 | 0.99 | 16 | 1.1373 |
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+ | 1.3997 | 1.98 | 32 | 1.1288 |
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+ | 1.3814 | 2.97 | 48 | 1.1147 |
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+ | 1.5235 | 3.95 | 64 | 1.0936 |
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+ | 1.1194 | 4.94 | 80 | 1.0703 |
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+ | 1.356 | 5.99 | 97 | 1.0459 |
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+ | 1.2157 | 6.98 | 113 | 1.0206 |
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+ | 0.9685 | 7.97 | 129 | 0.9902 |
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+ | 1.2886 | 8.96 | 145 | 0.9639 |
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+ | 1.2373 | 9.88 | 160 | 0.9435 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0
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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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