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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Helsinki-NLP/opus-mt-en-ROMANCE
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: seq2seq-finetuned-slang-en
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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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+ # seq2seq-finetuned-slang-en
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ROMANCE](https://huggingface.co/Helsinki-NLP/opus-mt-en-ROMANCE) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0286
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0844 | 1.33 | 500 | 0.0714 |
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+ | 0.0297 | 2.65 | 1000 | 0.0286 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Tokenizers 0.15.1
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+ "MarianMTModel"
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+ ],
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+ "bad_words_ids": [
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+ "use_cache": true,
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+ "vocab_size": 65001
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+ }
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