Tongyan Bai
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Parent(s):
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https://huggingface.co./tongyanb/lab2_efficient
Browse files- README.md +26 -11
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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- generated_from_trainer
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datasets:
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- kde4
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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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---
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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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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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- eval_runtime: 162.904
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- eval_samples_per_second: 12.903
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- eval_steps_per_second: 0.203
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- epoch: 0.0
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- step: 4
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## Model description
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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:
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Framework versions
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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: 51.33567203419723
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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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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: 0.8956
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- Bleu: 51.3357
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## Model description
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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model.safetensors
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training_args.bin
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