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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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<!-- 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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# opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3 |
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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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## 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: 25 |
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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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| 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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### 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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