license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- mt_eng_vietnamese | |
metrics: | |
- bleu | |
model-index: | |
- name: CK_T5 | |
results: | |
- task: | |
name: Sequence-to-sequence Language Modeling | |
type: text2text-generation | |
dataset: | |
name: mt_eng_vietnamese | |
type: mt_eng_vietnamese | |
config: iwslt2015-vi-en | |
split: test | |
args: iwslt2015-vi-en | |
metrics: | |
- name: Bleu | |
type: bleu | |
value: 0.1851 | |
<!-- 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. --> | |
# CK_T5 | |
This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the mt_eng_vietnamese dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.4489 | |
- Bleu: 0.1851 | |
- Gen Len: 18.751 | |
## 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: 2 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| | |
| 1.6572 | 1.0 | 8333 | 1.5155 | 0.0992 | 18.7864 | | |
| 1.5895 | 2.0 | 16666 | 1.4489 | 0.1851 | 18.751 | | |
### Framework versions | |
- Transformers 4.29.1 | |
- Pytorch 2.0.0+cu118 | |
- Datasets 2.12.0 | |
- Tokenizers 0.13.3 | |