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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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datasets:
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- opus_infopankki
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model-index:
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- name: t5-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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# t5-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: 2.3548
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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: 10
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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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| 3.065 | 1.0 | 1496 | 2.7383 |
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| 2.8459 | 2.0 | 2992 | 2.6077 |
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| 2.7296 | 3.0 | 4488 | 2.5336 |
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| 2.6639 | 4.0 | 5984 | 2.4761 |
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| 2.6234 | 5.0 | 7480 | 2.4342 |
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| 2.5847 | 6.0 | 8976 | 2.4038 |
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| 2.5536 | 7.0 | 10472 | 2.3808 |
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| 2.5213 | 8.0 | 11968 | 2.3663 |
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| 2.5275 | 9.0 | 13464 | 2.3574 |
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| 2.5215 | 10.0 | 14960 | 2.3548 |
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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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