metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- setimes
metrics:
- bleu
model-index:
- name: t5-base-finetuned-en-to-tr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: setimes
type: setimes
config: en-tr
split: train
args: en-tr
metrics:
- name: Bleu
type: bleu
value: 13.0464
t5-base-finetuned-en-to-tr
This model is a fine-tuned version of t5-base on the setimes dataset. It achieves the following results on the evaluation set:
- Loss: 4.7522
- Bleu: 13.0464
- Gen Len: 17.5633
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 7.6012 | 1.0 | 12851 | 7.4685 | 2.2376 | 18.1521 |
| 7.0962 | 2.0 | 25702 | 6.8819 | 4.4861 | 18.0448 |
| 6.6712 | 3.0 | 38553 | 6.4648 | 6.1268 | 18.014 |
| 6.3473 | 4.0 | 51404 | 6.1421 | 7.6084 | 17.9027 |
| 6.1161 | 5.0 | 64255 | 5.8969 | 8.4021 | 17.7949 |
| 5.9178 | 6.0 | 77106 | 5.6935 | 9.37 | 17.8392 |
| 5.7331 | 7.0 | 89957 | 5.5226 | 9.8004 | 17.8893 |
| 5.5981 | 8.0 | 102808 | 5.3886 | 10.3562 | 17.8955 |
| 5.4867 | 9.0 | 115659 | 5.2807 | 10.876 | 17.7434 |
| 5.3722 | 10.0 | 128510 | 5.1751 | 11.1864 | 17.7313 |
| 5.2739 | 11.0 | 141361 | 5.0924 | 11.6223 | 17.6476 |
| 5.2339 | 12.0 | 154212 | 5.0033 | 11.8264 | 17.6996 |
| 5.1754 | 13.0 | 167063 | 4.9500 | 12.1915 | 17.6447 |
| 5.0981 | 14.0 | 179914 | 4.8958 | 12.4578 | 17.5782 |
| 5.0478 | 15.0 | 192765 | 4.8458 | 12.6398 | 17.5753 |
| 4.9778 | 16.0 | 205616 | 4.8142 | 12.6034 | 17.5681 |
| 4.9689 | 17.0 | 218467 | 4.7840 | 12.807 | 17.5816 |
| 4.9368 | 18.0 | 231318 | 4.7680 | 13.038 | 17.5614 |
| 4.9829 | 19.0 | 244169 | 4.7572 | 13.0403 | 17.5407 |
| 4.9434 | 20.0 | 257020 | 4.7522 | 13.0464 | 17.5633 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.2.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1