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update model card README.md

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+ ---
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+ license: apache-2.0
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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_v0.4
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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_v0.4
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.8256
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+ - Bleu: 0.6866
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+ - Gen Len: 12.7094
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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: 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: 15
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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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+ | No log | 1.0 | 61 | 3.9664 | 0.2896 | 14.4631 |
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+ | No log | 2.0 | 122 | 3.9429 | 0.4145 | 14.1527 |
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+ | No log | 3.0 | 183 | 3.9243 | 0.5075 | 14.3103 |
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+ | No log | 4.0 | 244 | 3.9089 | 0.4954 | 14.3498 |
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+ | No log | 5.0 | 305 | 3.8915 | 0.4979 | 13.8966 |
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+ | No log | 6.0 | 366 | 3.8795 | 0.6291 | 13.2611 |
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+ | No log | 7.0 | 427 | 3.8690 | 0.6926 | 13.4138 |
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+ | No log | 8.0 | 488 | 3.8568 | 0.6898 | 13.0493 |
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+ | 4.0338 | 9.0 | 549 | 3.8464 | 0.7046 | 12.9212 |
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+ | 4.0338 | 10.0 | 610 | 3.8395 | 0.6875 | 12.734 |
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+ | 4.0338 | 11.0 | 671 | 3.8343 | 0.6789 | 12.9557 |
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+ | 4.0338 | 12.0 | 732 | 3.8306 | 0.6854 | 12.8571 |
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+ | 4.0338 | 13.0 | 793 | 3.8279 | 0.6854 | 12.8571 |
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+ | 4.0338 | 14.0 | 854 | 3.8265 | 0.6855 | 12.7044 |
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+ | 4.0338 | 15.0 | 915 | 3.8256 | 0.6866 | 12.7094 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.3