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  1. README.md +65 -0
  2. generation_config.json +0 -1
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ base_model: reza-alipour/ft5
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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: ft5
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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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+ # ft5
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+
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+ This model is a fine-tuned version of [reza-alipour/ft5](https://huggingface.co/reza-alipour/ft5) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3560
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+ - Rouge1: 85.3098
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+ - Rouge2: 73.9736
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+ - Rougel: 84.7155
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+ - Rougelsum: 84.7633
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+ - Gen Len: 24.6006
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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: 7e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 1337
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 32
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+ - optimizer: Adafactor
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+ - lr_scheduler_type: constant
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+ - num_epochs: 1.0
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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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+ | 0.4155 | 1.0 | 12417 | 0.3560 | 85.3098 | 73.9736 | 84.7155 | 84.7633 | 24.6006 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.1
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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