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mohamedtolba
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opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3

Text2Text Generation
Transformers
PyTorch
marian
Generated from Trainer
Inference Endpoints
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+ ---
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+ license: cc-by-4.0
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+ base_model: Helsinki-NLP/opus-mt-tc-big-en-ar
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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: opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3
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+ results: []
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+ ---
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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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+
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+ # opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.8103
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+ - Bleu: 8.7335
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+ - Gen Len: 23.16
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 25
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | No log | 1.0 | 14 | 8.4807 | 0.0 | 403.72 |
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+ | No log | 2.0 | 28 | 7.7371 | 0.0 | 189.68 |
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+ | No log | 3.0 | 42 | 7.2123 | 0.1961 | 80.52 |
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+ | No log | 4.0 | 56 | 6.8014 | 0.1764 | 100.08 |
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+ | No log | 5.0 | 70 | 6.4285 | 0.2171 | 54.96 |
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+ | No log | 6.0 | 84 | 6.1286 | 0.209 | 88.92 |
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+ | No log | 7.0 | 98 | 5.8323 | 0.2334 | 26.0 |
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+ | No log | 8.0 | 112 | 5.6044 | 0.2352 | 25.6 |
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+ | No log | 9.0 | 126 | 5.3873 | 0.2435 | 25.84 |
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+ | No log | 10.0 | 140 | 5.2068 | 0.2459 | 24.48 |
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+ | No log | 11.0 | 154 | 5.0464 | 0.6902 | 23.68 |
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+ | No log | 12.0 | 168 | 4.8825 | 0.7391 | 24.4 |
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+ | No log | 13.0 | 182 | 4.7366 | 1.185 | 22.68 |
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+ | No log | 14.0 | 196 | 4.5743 | 1.3994 | 23.6 |
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+ | No log | 15.0 | 210 | 4.4676 | 1.9653 | 23.84 |
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+ | No log | 16.0 | 224 | 4.3406 | 1.9566 | 23.88 |
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+ | No log | 17.0 | 238 | 4.2305 | 2.1215 | 22.88 |
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+ | No log | 18.0 | 252 | 4.1240 | 4.4593 | 22.28 |
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+ | No log | 19.0 | 266 | 4.0583 | 3.2999 | 22.52 |
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+ | No log | 20.0 | 280 | 3.9704 | 7.1094 | 23.12 |
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+ | No log | 21.0 | 294 | 3.9151 | 7.3081 | 23.12 |
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+ | No log | 22.0 | 308 | 3.8737 | 7.2132 | 23.72 |
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+ | No log | 23.0 | 322 | 3.8393 | 9.0724 | 22.92 |
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+ | No log | 24.0 | 336 | 3.8173 | 8.8528 | 23.0 |
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+ | No log | 25.0 | 350 | 3.8103 | 8.7335 | 23.16 |
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+
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+
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+ ### Framework versions
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+
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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