ZhiguangHan commited on
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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: google/mt5-small
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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: mt5-small-task3-dataset4
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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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+ # mt5-small-task3-dataset4
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+
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+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0208
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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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+
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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: 5.6e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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+ - num_epochs: 8
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 3.225 | 1.0 | 500 | 0.0479 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0784 | 2.0 | 1000 | 0.0322 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0467 | 3.0 | 1500 | 0.0258 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0409 | 4.0 | 2000 | 0.0224 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0386 | 5.0 | 2500 | 0.0210 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0355 | 6.0 | 3000 | 0.0207 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0335 | 7.0 | 3500 | 0.0207 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0322 | 8.0 | 4000 | 0.0208 | 0.0 | 0.0 | 0.0 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "transformers_version": "4.35.2"
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+ }
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