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End of training

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  1. README.md +73 -0
  2. config.json +35 -0
  3. generation_config.json +6 -0
  4. model.safetensors +3 -0
  5. run-0/checkpoint-225/config.json +35 -0
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  41. run-1/checkpoint-250/config.json +35 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google/long-t5-tglobal-base
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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: 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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+ # model
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+
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+ This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1182
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+ - Rouge: 0.1742
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+ - Meteor: 0.1156
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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: 0.00020976432527787498
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 3
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+ - total_train_batch_size: 3
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+ - optimizer: Use adamw_torch 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: 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 | Rouge | Meteor |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 19.7601 | 0.1 | 25 | 2.3028 | 0.0 | 0.0 |
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+ | 1.414 | 0.2 | 50 | 0.2878 | 0.0492 | 0.0322 |
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+ | 0.8046 | 0.3 | 75 | 0.1548 | 0.1159 | 0.0784 |
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+ | 1.5576 | 0.4 | 100 | 0.1288 | 0.1395 | 0.0944 |
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+ | 0.5364 | 0.5 | 125 | 0.1246 | 0.1534 | 0.1030 |
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+ | 0.4573 | 0.6 | 150 | 0.1220 | 0.1671 | 0.1111 |
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+ | 0.4605 | 0.7 | 175 | 0.1203 | 0.1658 | 0.1102 |
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+ | 0.4503 | 0.8 | 200 | 0.1190 | 0.1693 | 0.1108 |
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+ | 0.4515 | 0.9 | 225 | 0.1186 | 0.1737 | 0.1155 |
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+ | 0.4641 | 1.0 | 250 | 0.1182 | 0.1742 | 0.1156 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0.dev0
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.2
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+ - Tokenizers 0.20.1
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