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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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<!-- 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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# tokipona_to_eng_model_v0.4 |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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 |
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