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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: allenai/led-base-16384
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: LED-Base-NSPCC
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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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+ # LED-Base-NSPCC
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+
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+ This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8152
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+ - Rouge1: 0.4955
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+ - Rouge2: 0.2131
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+ - Rougel: 0.2804
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+ - Rougelsum: 0.2807
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+ - Gen Len: 267.3511
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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: 0.0003
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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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: cosine
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 2
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
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+ | 2.5412 | 0.99 | 47 | 1.9338 | 0.4778 | 0.186 | 0.2638 | 0.2635 | 266.2766 |
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+ | 1.6145 | 1.99 | 94 | 1.8152 | 0.4955 | 0.2131 | 0.2804 | 0.2807 | 267.3511 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "activation_function": "gelu",
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+ "LEDForConditionalGeneration"
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