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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: franco-arabic
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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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# franco-arabic
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3227
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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: 16
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- eval_batch_size: 16
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 3 | 1.2456 |
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| No log | 2.0 | 6 | 1.0399 |
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| No log | 3.0 | 9 | 0.8359 |
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| No log | 4.0 | 12 | 0.7516 |
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| No log | 5.0 | 15 | 0.6830 |
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| No log | 6.0 | 18 | 0.6363 |
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| No log | 7.0 | 21 | 0.5988 |
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| No log | 8.0 | 24 | 0.5653 |
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| No log | 9.0 | 27 | 0.5347 |
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| No log | 10.0 | 30 | 0.5024 |
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| No log | 11.0 | 33 | 0.4733 |
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| No log | 12.0 | 36 | 0.4499 |
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| No log | 13.0 | 39 | 0.4313 |
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| No log | 14.0 | 42 | 0.4149 |
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| No log | 15.0 | 45 | 0.4000 |
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| No log | 16.0 | 48 | 0.3872 |
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| No log | 17.0 | 51 | 0.3766 |
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| No log | 18.0 | 54 | 0.3668 |
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| No log | 19.0 | 57 | 0.3589 |
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| No log | 20.0 | 60 | 0.3522 |
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| No log | 21.0 | 63 | 0.3464 |
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| No log | 22.0 | 66 | 0.3419 |
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| No log | 23.0 | 69 | 0.3379 |
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| No log | 24.0 | 72 | 0.3344 |
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| No log | 25.0 | 75 | 0.3311 |
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| No log | 26.0 | 78 | 0.3285 |
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| No log | 27.0 | 81 | 0.3262 |
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| No log | 28.0 | 84 | 0.3245 |
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| No log | 29.0 | 87 | 0.3234 |
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| No log | 30.0 | 90 | 0.3227 |
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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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