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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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datasets: |
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- opus_infopankki |
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model-index: |
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- name: t5small-opus_infopankki-en-zh |
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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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# t5small-opus_infopankki-en-zh |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_infopankki dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0385 |
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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: 25 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.0853 | 1.0 | 1496 | 2.7074 | |
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| 2.8378 | 2.0 | 2992 | 2.5717 | |
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| 2.7637 | 3.0 | 4488 | 2.4829 | |
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| 2.6622 | 4.0 | 5984 | 2.4156 | |
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| 2.5986 | 5.0 | 7480 | 2.3649 | |
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| 2.5488 | 6.0 | 8976 | 2.3184 | |
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| 2.486 | 7.0 | 10472 | 2.2808 | |
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| 2.4566 | 8.0 | 11968 | 2.2485 | |
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| 2.4413 | 9.0 | 13464 | 2.2181 | |
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| 2.3806 | 10.0 | 14960 | 2.1939 | |
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| 2.3741 | 11.0 | 16456 | 2.1711 | |
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| 2.3419 | 12.0 | 17952 | 2.1511 | |
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| 2.3197 | 13.0 | 19448 | 2.1318 | |
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| 2.3229 | 14.0 | 20944 | 2.1170 | |
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| 2.2885 | 15.0 | 22440 | 2.1032 | |
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| 2.2781 | 16.0 | 23936 | 2.0908 | |
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| 2.2447 | 17.0 | 25432 | 2.0792 | |
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| 2.2589 | 18.0 | 26928 | 2.0695 | |
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| 2.2274 | 19.0 | 28424 | 2.0611 | |
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| 2.2311 | 20.0 | 29920 | 2.0538 | |
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| 2.2263 | 21.0 | 31416 | 2.0482 | |
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| 2.2066 | 22.0 | 32912 | 2.0443 | |
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| 2.2042 | 23.0 | 34408 | 2.0413 | |
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| 2.211 | 24.0 | 35904 | 2.0390 | |
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| 2.1952 | 25.0 | 37400 | 2.0385 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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