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---
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license: apache-2.0
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: mt5-small-finetuned-tq-to-ar
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mt5-small-finetuned-tq-to-ar
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2607
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- Bleu: 0.0533
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- Gen Len: 19.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| 11.4687 | 1.0 | 656 | 4.1640 | 0.0355 | 18.2007 |
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| 5.255 | 2.0 | 1312 | 3.6826 | 0.0314 | 18.8971 |
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| 4.6562 | 3.0 | 1968 | 3.5592 | 0.03 | 19.0 |
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| 4.329 | 4.0 | 2624 | 3.4714 | 0.0304 | 19.0 |
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| 4.2431 | 5.0 | 3280 | 3.4219 | 0.0425 | 19.0 |
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| 4.1638 | 6.0 | 3936 | 3.3766 | 0.0532 | 19.0 |
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| 4.0727 | 7.0 | 4592 | 3.3530 | 0.0539 | 19.0 |
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| 4.0424 | 8.0 | 5248 | 3.3293 | 0.0536 | 19.0 |
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| 3.9878 | 9.0 | 5904 | 3.3079 | 0.0526 | 19.0 |
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| 3.9417 | 10.0 | 6560 | 3.2885 | 0.0532 | 19.0 |
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| 3.9272 | 11.0 | 7216 | 3.2813 | 0.0531 | 19.0 |
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| 3.9144 | 12.0 | 7872 | 3.2733 | 0.0522 | 19.0 |
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| 3.8918 | 13.0 | 8528 | 3.2665 | 0.0539 | 19.0 |
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| 3.8884 | 14.0 | 9184 | 3.2617 | 0.0527 | 19.0 |
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| 3.8857 | 15.0 | 9840 | 3.2607 | 0.0533 | 19.0 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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