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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: opus-mt-ar-en-finetunedTanzil-v6-ar-to-en |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# opus-mt-ar-en-finetunedTanzil-v6-ar-to-en |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.6863 |
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- Validation Loss: 0.8789 |
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- Train Rouge1: 56.4999 |
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- Train Rouge2: 33.3152 |
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- Train Rougel: 52.7922 |
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- Train Rougelsum: 53.4004 |
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- Train Gen Len: 65.66 |
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- Epoch: 14 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
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| 1.2958 | 1.2191 | 55.4125 | 33.4250 | 52.1444 | 52.4427 | 109.29 | 0 | |
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| 1.1928 | 1.1607 | 57.1190 | 35.0261 | 53.9195 | 54.3028 | 103.37 | 1 | |
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| 1.1152 | 1.1133 | 56.7848 | 34.9767 | 53.6885 | 54.0708 | 81.705 | 2 | |
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| 1.0531 | 1.0795 | 56.5101 | 35.1214 | 53.2131 | 53.4955 | 104.285 | 3 | |
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| 0.9999 | 1.0493 | 57.7130 | 35.7997 | 54.7519 | 55.0195 | 98.01 | 4 | |
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| 0.9544 | 1.0233 | 57.4034 | 35.3118 | 54.2593 | 54.6092 | 56.94 | 5 | |
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| 0.9135 | 1.0009 | 56.7008 | 35.3027 | 53.6876 | 53.8885 | 94.855 | 6 | |
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| 0.8770 | 0.9793 | 56.6660 | 34.4890 | 53.1461 | 53.5412 | 93.33 | 7 | |
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| 0.8434 | 0.9624 | 55.3198 | 33.4441 | 52.3099 | 52.7027 | 94.63 | 8 | |
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| 0.8135 | 0.9468 | 55.2723 | 33.4791 | 51.9936 | 52.2751 | 69.765 | 9 | |
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| 0.7842 | 0.9335 | 55.9241 | 33.1444 | 52.5591 | 52.8279 | 63.895 | 10 | |
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| 0.7572 | 0.9170 | 57.7109 | 34.8199 | 54.0893 | 54.6004 | 75.57 | 11 | |
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| 0.7322 | 0.9009 | 55.7067 | 33.2829 | 52.2642 | 52.5643 | 96.515 | 12 | |
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| 0.7084 | 0.8912 | 55.2352 | 32.1104 | 51.6885 | 52.1647 | 91.595 | 13 | |
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| 0.6863 | 0.8789 | 56.4999 | 33.3152 | 52.7922 | 53.4004 | 65.66 | 14 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- TensorFlow 2.7.0 |
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- Datasets 1.18.4.dev0 |
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- Tokenizers 0.10.3 |
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