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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus_infopankki
model-index:
- name: t5small-opus_infopankki-en-zh
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5small-opus_infopankki-en-zh
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_infopankki dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0385
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.0853 | 1.0 | 1496 | 2.7074 |
| 2.8378 | 2.0 | 2992 | 2.5717 |
| 2.7637 | 3.0 | 4488 | 2.4829 |
| 2.6622 | 4.0 | 5984 | 2.4156 |
| 2.5986 | 5.0 | 7480 | 2.3649 |
| 2.5488 | 6.0 | 8976 | 2.3184 |
| 2.486 | 7.0 | 10472 | 2.2808 |
| 2.4566 | 8.0 | 11968 | 2.2485 |
| 2.4413 | 9.0 | 13464 | 2.2181 |
| 2.3806 | 10.0 | 14960 | 2.1939 |
| 2.3741 | 11.0 | 16456 | 2.1711 |
| 2.3419 | 12.0 | 17952 | 2.1511 |
| 2.3197 | 13.0 | 19448 | 2.1318 |
| 2.3229 | 14.0 | 20944 | 2.1170 |
| 2.2885 | 15.0 | 22440 | 2.1032 |
| 2.2781 | 16.0 | 23936 | 2.0908 |
| 2.2447 | 17.0 | 25432 | 2.0792 |
| 2.2589 | 18.0 | 26928 | 2.0695 |
| 2.2274 | 19.0 | 28424 | 2.0611 |
| 2.2311 | 20.0 | 29920 | 2.0538 |
| 2.2263 | 21.0 | 31416 | 2.0482 |
| 2.2066 | 22.0 | 32912 | 2.0443 |
| 2.2042 | 23.0 | 34408 | 2.0413 |
| 2.211 | 24.0 | 35904 | 2.0390 |
| 2.1952 | 25.0 | 37400 | 2.0385 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
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