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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-small-finetuned-tq-to-ar
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. -->
# mt5-small-finetuned-tq-to-ar
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2607
- Bleu: 0.0533
- Gen Len: 19.0
## 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: 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: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 11.4687 | 1.0 | 656 | 4.1640 | 0.0355 | 18.2007 |
| 5.255 | 2.0 | 1312 | 3.6826 | 0.0314 | 18.8971 |
| 4.6562 | 3.0 | 1968 | 3.5592 | 0.03 | 19.0 |
| 4.329 | 4.0 | 2624 | 3.4714 | 0.0304 | 19.0 |
| 4.2431 | 5.0 | 3280 | 3.4219 | 0.0425 | 19.0 |
| 4.1638 | 6.0 | 3936 | 3.3766 | 0.0532 | 19.0 |
| 4.0727 | 7.0 | 4592 | 3.3530 | 0.0539 | 19.0 |
| 4.0424 | 8.0 | 5248 | 3.3293 | 0.0536 | 19.0 |
| 3.9878 | 9.0 | 5904 | 3.3079 | 0.0526 | 19.0 |
| 3.9417 | 10.0 | 6560 | 3.2885 | 0.0532 | 19.0 |
| 3.9272 | 11.0 | 7216 | 3.2813 | 0.0531 | 19.0 |
| 3.9144 | 12.0 | 7872 | 3.2733 | 0.0522 | 19.0 |
| 3.8918 | 13.0 | 8528 | 3.2665 | 0.0539 | 19.0 |
| 3.8884 | 14.0 | 9184 | 3.2617 | 0.0527 | 19.0 |
| 3.8857 | 15.0 | 9840 | 3.2607 | 0.0533 | 19.0 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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