Hasanur525 commited on
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End of training

Browse files
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+ ---
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+ base_model: Hasanur525/deed-summarization_version_5
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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: deed-summarization_version_9
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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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+ # deed-summarization_version_9
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+
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+ This model is a fine-tuned version of [Hasanur525/deed-summarization_version_5](https://huggingface.co/Hasanur525/deed-summarization_version_5) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3233
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+ - Rouge1: 0.0
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+ - Rouge2: 0.0
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+ - Rougel: 0.0
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+ - Rougelsum: 0.0
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+ - Gen Len: 83.5
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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+ - lr_scheduler_warmup_steps: 5000
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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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+ | 1.472 | 1.0 | 1 | 1.3233 | 0.0 | 0.0 | 0.0 | 0.0 | 83.5 |
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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 2.1.0.dev20230811+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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