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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: facebook/bart-large
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+ tags:
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+ - base_model:adapter:facebook/bart-large
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+ - lora
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+ - transformers
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+ metrics:
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+ - rouge
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+ - bleu
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+ model-index:
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+ - name: dialogsum_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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+ # dialogsum_model
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+
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1151
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+ - Rouge1: 0.3978
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+ - Rouge2: 0.1893
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+ - Rougel: 0.3483
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+ - Bleu: 0.1382
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+ - Bertscore F1: 0.91
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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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 | Bleu | Bertscore F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------------:|
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+ | 1.2401 | 1.0 | 3115 | 1.1436 | 0.3955 | 0.1836 | 0.3454 | 0.135 | 0.9103 |
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+ | 1.2531 | 2.0 | 6230 | 1.1260 | 0.3987 | 0.1819 | 0.3452 | 0.1361 | 0.9107 |
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+ | 1.1868 | 3.0 | 9345 | 1.1151 | 0.3978 | 0.1893 | 0.3483 | 0.1382 | 0.91 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.18.0
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+ - Transformers 4.57.1
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+ - Pytorch 2.8.0+cu126
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+ - Datasets 4.4.1
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+ - Tokenizers 0.22.1
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