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Chenxin0903/lab1_finetuning

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  1. README.md +73 -0
  2. generation_config.json +16 -0
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-fr
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - kde4
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: marian-finetuned-kde4-en-to-fr
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: kde4
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+ type: kde4
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+ config: en-fr
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+ split: train
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+ args: en-fr
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 49.510515200810126
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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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+ # marian-finetuned-kde4-en-to-fr
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9643
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+ - Bleu: 49.5105
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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: 32
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+ - eval_batch_size: 64
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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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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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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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
generation_config.json ADDED
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+ {
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+ "bad_words_ids": [
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+ [
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+ 59513
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+ ]
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+ ],
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 59513,
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+ "eos_token_id": 0,
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+ "forced_eos_token_id": 0,
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+ "max_length": 512,
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+ "num_beams": 4,
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+ "pad_token_id": 59513,
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+ "renormalize_logits": true,
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+ "transformers_version": "4.35.2"
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+ }