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bigbird_pegasus

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Safetensors
bigbird_pegasus
text2text-generation
Generated from Trainer
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  1. README.md +98 -0
  2. generation_config.json +11 -0
  3. logs/events.out.tfevents.1718512678.node0378.palmetto.clemson.edu.462826.0 +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/bigbird-pegasus-large-arxiv
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bigbird_pegasus
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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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+ # bigbird_pegasus
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+
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+ This model is a fine-tuned version of [google/bigbird-pegasus-large-arxiv](https://huggingface.co/google/bigbird-pegasus-large-arxiv) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: nan
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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: 3e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 4
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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: polynomial
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 20000
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+ - mixed_precision_training: Native AMP
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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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+ | 0.0 | 0.0 | 500 | nan |
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+ | 0.0 | 0.01 | 1000 | nan |
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+ | 0.0 | 0.01 | 1500 | nan |
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+ | 0.0 | 0.01 | 2000 | nan |
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+ | 0.0 | 0.02 | 2500 | nan |
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+ | 0.0 | 0.02 | 3000 | nan |
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+ | 0.0 | 0.02 | 3500 | nan |
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+ | 0.0 | 0.03 | 4000 | nan |
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+ | 0.0 | 0.03 | 4500 | nan |
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+ | 0.0 | 0.03 | 5000 | nan |
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+ | 0.0 | 0.04 | 5500 | nan |
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+ | 0.0 | 0.04 | 6000 | nan |
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+ | 0.0 | 0.05 | 6500 | nan |
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+ | 0.0 | 0.05 | 7000 | nan |
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+ | 0.0 | 0.05 | 7500 | nan |
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+ | 0.0 | 0.06 | 8000 | nan |
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+ | 0.0 | 0.06 | 8500 | nan |
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+ | 0.0 | 0.06 | 9000 | nan |
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+ | 0.0 | 0.07 | 9500 | nan |
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+ | 0.0 | 0.07 | 10000 | nan |
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+ | 0.0 | 0.07 | 10500 | nan |
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+ | 0.0 | 0.08 | 11000 | nan |
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+ | 0.0 | 0.08 | 11500 | nan |
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+ | 0.0 | 0.08 | 12000 | nan |
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+ | 0.0 | 0.09 | 12500 | nan |
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+ | 0.0 | 0.09 | 13000 | nan |
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+ | 0.0 | 0.09 | 13500 | nan |
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+ | 0.0 | 0.1 | 14000 | nan |
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+ | 0.0 | 0.1 | 14500 | nan |
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+ | 0.0 | 0.1 | 15000 | nan |
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+ | 0.0 | 0.11 | 15500 | nan |
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+ | 0.0 | 0.11 | 16000 | nan |
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+ | 0.0 | 0.11 | 16500 | nan |
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+ | 0.0 | 0.12 | 17000 | nan |
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+ | 0.0 | 0.12 | 17500 | nan |
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+ | 0.0 | 0.13 | 18000 | nan |
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+ | 0.0 | 0.13 | 18500 | nan |
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+ | 0.0 | 0.13 | 19000 | nan |
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+ | 0.0 | 0.14 | 19500 | nan |
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+ | 0.0 | 0.14 | 20000 | nan |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.1
generation_config.json ADDED
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+ "length_penalty": 0.8,
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+ "max_length": 256,
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+ "num_beams": 5,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.37.2"
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+ }
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