Instructions to use ezzini/marian-finetuned-mcwc-ar-to-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ezzini/marian-finetuned-mcwc-ar-to-en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ezzini/marian-finetuned-mcwc-ar-to-en") model = AutoModelForSeq2SeqLM.from_pretrained("ezzini/marian-finetuned-mcwc-ar-to-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 2
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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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:
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- Validation Loss: 1.
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- Epoch:
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## Model description
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| 1.3918 | 1.1473 | 0 |
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| 1.0745 | 1.1021 | 1 |
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### Framework versions
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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: 0.9486
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- Validation Loss: 1.0908
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- Epoch: 2
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## Model description
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| 1.3918 | 1.1473 | 0 |
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| 1.0745 | 1.1021 | 1 |
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| 0.9486 | 1.0908 | 2 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 307873912
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version https://git-lfs.github.com/spec/v1
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oid sha256:4adec1e6a5da2ac097d51bc7bed3d2e207bf1ee4ae453c4afc3facf40419a718
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size 307873912
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