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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: t5-base
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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: tokipona_to_eng_model_v1
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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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+ # tokipona_to_eng_model_v1
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2414
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+ - Bleu: 25.378
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+ - Gen Len: 8.8964
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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: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 10
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+ - mixed_precision_training: Native AMP
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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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+ | 1.8666 | 1.0 | 1430 | 1.4045 | 17.3719 | 8.7792 |
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+ | 1.4468 | 2.0 | 2860 | 1.2761 | 20.4928 | 8.9122 |
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+ | 1.2337 | 3.0 | 4290 | 1.2259 | 22.5629 | 8.8094 |
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+ | 1.1073 | 4.0 | 5720 | 1.2052 | 23.2202 | 8.9101 |
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+ | 1.0195 | 5.0 | 7150 | 1.2041 | 24.1567 | 8.9248 |
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+ | 0.9152 | 6.0 | 8580 | 1.2082 | 24.1598 | 8.9977 |
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+ | 0.8753 | 7.0 | 10010 | 1.2128 | 24.7257 | 8.8864 |
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+ | 0.818 | 8.0 | 11440 | 1.2249 | 25.0503 | 8.9076 |
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+ | 0.7854 | 9.0 | 12870 | 1.2341 | 25.0301 | 8.9097 |
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+ | 0.7655 | 10.0 | 14300 | 1.2414 | 25.378 | 8.8964 |
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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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