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HorikawaMegu/JEC-mt5-small

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: mt5-small
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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
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0758
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+ - Bleu: 67.2605
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+ - Gen Len: 13.051
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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: 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: 12
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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+ | 1.0485 | 1.0 | 3125 | 0.7139 | 0.0061 | 13.051 |
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+ | 0.2413 | 2.0 | 6250 | 0.1114 | 53.3974 | 13.056 |
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+ | 0.1153 | 3.0 | 9375 | 0.0937 | 61.71 | 13.056 |
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+ | 0.0918 | 4.0 | 12500 | 0.0867 | 63.8407 | 13.056 |
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+ | 0.0819 | 5.0 | 15625 | 0.0833 | 65.2015 | 13.056 |
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+ | 0.08 | 6.0 | 18750 | 0.0806 | 65.6513 | 13.056 |
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+ | 0.078 | 7.0 | 21875 | 0.0793 | 66.3861 | 13.051 |
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+ | 0.0704 | 8.0 | 25000 | 0.0779 | 66.6447 | 13.051 |
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+ | 0.0724 | 9.0 | 28125 | 0.0759 | 67.2105 | 13.051 |
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+ | 0.0707 | 10.0 | 31250 | 0.0765 | 67.3232 | 13.051 |
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+ | 0.0682 | 11.0 | 34375 | 0.0761 | 67.3443 | 13.051 |
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+ | 0.07 | 12.0 | 37500 | 0.0758 | 67.2605 | 13.051 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.38.2"
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+ }
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