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---
tags:
- generated_from_trainer
datasets:
- wmt16_en_ro_pre_processed
metrics:
- bleu
model-index:
- name: t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16_en_ro_pre_processed
type: wmt16_en_ro_pre_processed
args: enro
metrics:
- name: Bleu
type: bleu
value: 0.0617
---
<!-- 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. -->
# t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro
This model is a fine-tuned version of [patrickvonplaten/t5-tiny-random](https://huggingface.co/patrickvonplaten/t5-tiny-random) on the wmt16_en_ro_pre_processed dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6426
- Bleu: 0.0617
- Gen Len: 8.9895
## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 4.5828 | 1.0 | 76290 | 5.5397 | 0.0089 | 8.981 |
| 4.187 | 2.0 | 152580 | 5.2241 | 0.0172 | 8.989 |
| 3.9612 | 3.0 | 228870 | 5.0092 | 0.034 | 8.988 |
| 3.8151 | 4.0 | 305160 | 4.8688 | 0.0365 | 8.9865 |
| 3.7162 | 5.0 | 381450 | 4.7656 | 0.0469 | 8.9865 |
| 3.6498 | 6.0 | 457740 | 4.6874 | 0.0531 | 8.9885 |
| 3.6147 | 7.0 | 534030 | 4.6612 | 0.0585 | 8.9875 |
| 3.5972 | 8.0 | 610320 | 4.6426 | 0.0617 | 8.9895 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu102
- Datasets 1.15.1
- Tokenizers 0.10.3
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